Color calibration tool for AR environment

Abstract

A color calibration system configured to allow a user to adjust hue / color temperature parameters while displaying a virtual color reference card on a see-through display of a computing device. The virtual color reference card corresponds to a physical color reference card placed in front of the AR glasses. The color calibration system changes color attributes of the see-through display based on adjustments made by the user via the color calibration UI. The user may continuously adjust the attributes of the see-through display by interacting with user-selectable elements in the color calibration UI until the color of a virtual color reference card superimposed on the field of view of the wearer of the AR glasses matches the color of a physical color reference card seen by the wearer of the AR glasses.

Description

[0001] Priority claim

[0002] This application claims the benefit of priority to U.S. Application No. 17 / 848,179, filed on June 23, 2022, which is incorporated herein by reference in its entirety. Technical Field

[0003] The present disclosure generally relates to facilitating augmented reality experiences. Background Art

[0004] As the popularity of computer-implemented tools that allow users to access and interact with content and other users online continues to grow, various computer-implemented tools are being developed to allow users to share content with other users through messaging clients. Some of these computer-implemented applications, referred to as apps, may be designed to run on mobile devices such as phones, tablets, or wearable devices, while providing backend services on a server computer system to perform operations that may require more resources than would be reasonably required to perform at the client device.

[0005] Various computer-implemented tools are being developed to allow users to experience so-called augmented reality. Augmented reality (often abbreviated to AR) is the process of enhancing the real-world environment, such as that viewed through a camera lens, by overlaying digital content on a real-world view presented on a display of a user device. Examples of user devices include AR glasses, tablet computers, and smartphones. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] In the accompanying drawings, like reference numerals may describe similar components in different views, and the drawings are not necessarily drawn to scale. To easily identify the discussion of any particular element or action, the highest digit or digits in the reference numeral refer to the figure number in which the element is first introduced. Some examples are shown by way of example and not limitation in the figures of the accompanying drawings, in which:

[0007] Figure 1 is a diagrammatic representation of a networked environment in which a color calibration system may be deployed, according to some examples.

[0008] Figure 2 is a diagrammatic representation of a messaging system having both client-side and server-side functionality and including a color calibration system, according to some examples.

[0009] Figure 3 is a diagrammatic representation of data structures as maintained in a database according to some examples.

[0010] Figure 4 is a flow chart of a method performed by a color calibration system according to some examples.

[0011] Figure 5 A view is shown including a color calibration user interface (UI) and a physical color reference card as seen through AR glasses, according to some examples.

[0012] Figure 6 Another view is shown including a color calibration UI and a physical color reference card seen through AR glasses according to some examples.

[0013] Figure 7 is a diagrammatic representation of a machine in the form of a computer system according to some examples within which a set of instructions may be executed to cause the machine to perform any one or more of the methodologies discussed herein. DETAILED DESCRIPTION

[0014] Embodiments of the present disclosure improve the functionality of computer systems by increasing the usability of augmented reality (AR) software and systems.

[0015] AR-enabled computing applications, also referred to as AR applications, integrate digital visual content into the user's real-world environment. AR-enabled computing applications are configured to execute at a user device such as a tablet, smart phone, or AR glasses. AR glasses, also referred to as AR smart glasses or just smart glasses, are computing devices that can be worn in the same way as a pair of glasses. AR glasses are equipped with a digital camera and a digital display, and allow the wearer to see the real world enhanced by superimposed computer-generated information through the lenses of the glasses. Enhancing the real-world view by superimposed computer-generated information can be achieved by combining a transparent lens with a digital display such as a light-emitting diode (LED) or organic light-emitting diode (OLED) display. The digital display of the AR glasses is a perspective display device that can display an AR overlay (e.g., a digital image) as if it were in front of the wearer of the AR glasses in real life.

[0016] Some AR applications particularly benefit from accurately displaying colors on an associated see-through display device. Existing devices for color calibrating computer monitors are not suitable for calibrating see-through display devices because some aspects of the colors perceived by a wearer of AR glasses are due to ambient lighting conditions. The technical challenges of color calibrating see-through displays are addressed by providing a color calibration system. The color calibration system is configured to allow a user to adjust hue / color temperature parameters when a virtual color reference card is displayed on a see-through display device. The color temperature is between the orange and blue spectrum. The hue is between the green and magenta spectrum.

[0017] The virtual color reference card corresponds to a physical color reference card placed in front of the AR glasses. The physical color reference card is an arrangement of shapes with different colors. For example, the physical color reference card can be a cardboard framed arrangement of 24 squares of color samples. Based on the adjustments indicated by the user through the color calibration user interface (UI), the color calibration system changes the properties of the see-through display device so that the user can immediately see the effect of their color calibration work by comparing the changed colors in the virtual color reference card with the colors of the physical color reference card seen through the transparent lenses of the AR glasses. The user can continue to adjust the properties of the see-through display device until the color of the virtual color reference card superimposed on the field of view of the wearer of the AR glasses matches the color of the physical color reference card seen by the wearer of the AR glasses.

[0018] The color calibration system includes a calibration tool using a physical reference color card and a color calibration UI. The color calibration UI includes a virtual color reference card superimposed on the field of view of the wearer of the AR glasses and a user-selectable element for color calibration of the see-through display device.

[0019] In some examples, the user selectable elements are two sliders for controlling hue and color temperature, respectively. It should be noted that although the color space includes three dimensions—hue, color temperature, and brightness—the brightness of the see-through display device is fixed according to the ambient lighting conditions. When the lighting conditions change, additional color calibration of the see-through display device may be required. Examples of color calibration UIs are described further below. Figure 5 and Figure 6 Shown in.

[0020] The color calibration system can be built into the AR glasses as part of the system tools. In some examples, the color calibration system is provided by a messaging system configured to facilitate network communications between user devices.

[0021] Networked computing environment

[0022] Figure 1 1 is a block diagram 100 illustrating an example messaging system for exchanging data (e.g., messages and associated content) over a network. The messaging system includes multiple instances of a messaging client 104 executing at respective client devices, such as a client device 102, and a messaging server system 108. Each messaging client 104 is communicatively coupled to other instances of the messaging client 104 and the messaging server system 108 via a network 106 (e.g., the Internet). The client device 102 is a smart phone, AR glasses, or other type of device capable of displaying AR content.

[0023] The messaging client 104 is able to communicate and exchange data with another messaging client 104 and a messaging server system 108 via the network 106. The data exchanged between the messaging clients 104 and between the messaging clients 104 and the messaging server system 108 includes functions (e.g., commands for activating functions) and payload data (e.g., text, audio, video, or other multimedia data).

[0024] The messaging server system 108 provides server-side functionality to specific messaging clients 104 via the network 106. Although certain functions of the messaging system are described herein as being performed by the messaging client 104 or by the messaging server system 108, the location of certain functions within the messaging client 104 or within the messaging server system 108 may be a design choice. For example, it may be technically preferable to initially deploy certain technologies and functions within the messaging server system 108, but later migrate the technologies and functions to the messaging client 104 where the client device 102 has sufficient processing power.

[0025] The messaging server system 108 supports various services and operations provided to the messaging clients 104. Such operations include sending data to the messaging clients 104, receiving data from the messaging clients 104, and processing data generated by the messaging clients 104. As examples, the data may include message content, client device information, geographic location information, media enhancements and overlays, message content persistence conditions, social network information, live event information, and images and videos captured using the front-facing camera of the associated client device using customized image reprocessing. Data exchange within the messaging system is activated and controlled by functions available via the user interface (UI) of the messaging client 104.

[0026] Turning now specifically to the messaging server system 108, an application program interface (API) server 110 is coupled to and provides a programming interface to an application server 112. The application server 112 is communicatively coupled to a database server 118, which facilitates access to a database 120 that stores data associated with messages processed by the application server 112. Similarly, a web server 124 is coupled to the application server 112 and provides a web-based interface to the application server 112. To this end, the web server 124 processes incoming network requests via the Hypertext Transfer Protocol (HTTP) and several other related protocols.

[0027] The application program interface (API) server 110 receives and sends message data (e.g., commands and message payloads) between the client device 102 and the application server 112. Specifically, the application program interface (API) server 110 provides a set of interfaces (e.g., routines and protocols) that the messaging client 104 can call or query to activate the functions of the application server 112. The application program interface (API) server 110 exposes various functions supported by the application server 112, including: account registration; login functionality; sending messages from a particular messaging client 104 to another messaging client 104 via the application server 112; sending media files (e.g., images or videos) from a messaging client 104 to the messaging server 114 and for possible access by another messaging client 104; setting up collections of media data (e.g., stories); retrieving a friend list of a user of the client device 102; retrieving such collections; retrieving messages and content; adding and removing entities (e.g., friends) from an entity graph (e.g., a social graph); locating friends in a social graph; and opening application events (e.g., related to a messaging client 104).

[0028] The application server 112 hosts several server applications and subsystems, including, for example, a messaging server 114, an image processing server 116, and a social network server 122. The messaging server 114 implements several message processing technologies and functions, particularly those related to the aggregation and other processing of content (e.g., text and multimedia content) included in messages received from multiple instances of the messaging client 104. As will be described in further detail, text and media content from multiple sources can be aggregated into collections of content (e.g., referred to as stories or galleries). These collections are then made available to the messaging client 104. In view of the hardware requirements for other processor and memory intensive processing of data, such processing can also be performed on the server side by the messaging server 114.

[0029] The application server 112 also includes an image processing server 116 that is dedicated to performing various image processing operations, typically on images or videos within the payload of messages sent from or received at the messaging server 114. Some of the various image processing operations may be performed by various AR components, collectively referred to as AR engines, which may be hosted or supported by the image processing server 116. In some examples, the AR engine is used to facilitate functionality provided by a color calibration tool, such as detecting a physical color reference card in the field of view of a camera of the computing device (e.g., by detecting a corresponding color reference card object in the output of a digital image sensor of a camera of the AR glasses) and superimposing a virtual color reference card on the field of view at a selected location so as not to obscure the associated physical color reference card. The virtual color reference card is generated based on the color reference card object detected in the output of the digital image sensor of the camera of the AR glasses.

[0030] The social network server 122 supports various social networking functions and services and makes them available to the messaging server 114. To this end, the social network server 122 maintains and accesses the entity graph 306 (e.g., Figure 3 Examples of functions and services supported by social network server 122 include identifying other users in the messaging system that have a "friend" relationship with a particular user or that the particular user is "following," and identifying interests and other entities of a particular user.

[0031] In some examples, the game server 126 is configured as an authoritative source of user actions and effects of user actions (also referred to as events) in a multiplayer game. The game server 126 being the authoritative source of events in a multiplayer game means that each user device participating in the same multiplayer game maintains a version of the game state that is consistent with the corresponding version of the game state available to other users via their respective user devices. In some examples, a multiplayer game is an AR experience shared by multiple users. As described above, users participating in a shared AR experience session interact in the real world because they are located in substantially the same geographic area, so that they can see the same real-world objects around them even if the angles are different, and these users are also able to manipulate the virtual objects provided by the shared AR experience by interacting with the active UI of the shared UI experience.

[0032] System Architecture

[0033] Figure 22 is a block diagram 200 showing additional details about a messaging system according to some examples. Specifically, the messaging system is shown as including a messaging client 104 and an application server 112. The messaging system contains several subsystems that are supported on the client side by the messaging client 104 and on the server side by the application server 112. These subsystems include, for example, a color calibration tool 202, an enhancement system 206, a mapping system 210, and a gaming system 212.

[0034] As described herein, color calibration tool 202 is configured to allow a user to adjust hue / color temperature parameters when a virtual color reference card is displayed on a perspective display device. It should be noted that in some examples, color calibration tool 202 is hosted on a user device (e.g., client device 102), in which case the backend for color calibration tool 202 is a local service.

[0035] Enhancement system 206 provides various functions that enable users to enhance (e.g., annotate or otherwise modify or edit) media content that may be associated with a message. For example, enhancement system 206 provides functions related to generating and publishing media overlays for messages processed by the messaging system. Media overlays may be stored in database 120 and accessed through database server 118.

[0036] In some examples, the augmentation system 206 is configured to provide access to an AR component that can be implemented using a programming language suitable for application development, such as JavaScript or Java, and identified in the messaging server system by a corresponding AR component identifier. The AR component may include or reference various image processing operations corresponding to image modification, filtering, media overlay, transformation, etc. These image processing operations can provide an interactive experience of a real-world environment, in which objects, surfaces, backgrounds, lighting, etc. captured by a digital image sensor or camera are enhanced by computer-generated perceptual information. In this case, the AR component includes a collection of data, parameters, and other assets required to apply a selected augmented reality experience to an image or video feed.

[0037] In some embodiments, the AR component includes a module configured to modify or transform image data presented within a graphical user interface (GUI) of a client device in some manner. For example, AR component data can be used to perform complex additions or transformations to content images, such as adding bunny ears to a person's head in a video clip, adding a floating heart with a background color to a video clip, changing the scale of a person's features within a video clip, or many other such transformations. This includes both real-time modifications that modify the image using the AR component modification when the image is captured using a camera associated with the client device and then displayed on the screen of the client device, as well as modifications to stored content, such as video clips in a gallery that can be modified using the AR component.

[0038] Various augmented reality functions that can be provided by the AR component include detecting objects (e.g., faces, hands, bodies, cats, dogs, surfaces, objects, etc.) in video frames, tracking these objects as they leave, enter, and move around the field of view, and modifying or transforming them as they are tracked. In various embodiments, different methods for implementing such transformations can be used. For example, some embodiments may involve generating a 3D mesh model of one or more objects, and using transformations and animated textures of the model within the video to implement the transformation. In other embodiments, tracking of points on an object can be used to place an image or texture at the tracked location, which image or texture can be two-dimensional or three-dimensional. In other embodiments, neural network analysis of video frames can be used to place images, models, or textures in content (e.g., frames of images or videos). Therefore, AR component data refers to both images, models, and textures used to create transformations in content, and additional modeling and analysis information required to implement such transformations using object detection, tracking, and placement. In some embodiments, augmentation system 206 is used by color calibration tool 202 as an AR engine to facilitate detecting a physical color reference card in the field of view of a camera of a computing device, and superimposing a corresponding virtual color reference card on the field of view at a selected location so as not to obscure the associated physical color reference card.

[0039] The mapping system 210 provides various geolocation functions and supports the presentation of map-based media content and messages through the messaging client 104. For example, the mapping system 210 enables the display of a user icon or visualization (e.g., stored in the profile data of 316) on a map to indicate the current or past locations of the user's "friends", as well as media content (e.g., a collection of messages including photos and videos) generated by such friends within the context of the map. For example, a message posted to the messaging system 100 by a user from a particular geographic location can be displayed to the particular user's "friends" on the map interface of the messaging client 104 within the context of a map of that particular location. In addition, a user can share his or her location and status information (e.g., using an appropriate status avatar) with other users of the messaging system 100 via the messaging client 104, where the location and status information is similarly displayed to the selected user within the context of the map interface of the messaging client 104.

[0040] The gaming system 212 provides various gaming functions within the context of the messaging client 104. The messaging client 104 provides a gaming interface that provides a list of available games that can be launched by a user within the context of the messaging client 104 and played with other users of the messaging system 100, including AR experiences that can beneficially utilize the color calibration tool 202.

[0041] Data Architecture

[0042] Figure 3 is a diagram illustrating a data structure 300 that may be stored in a database 120 of a messaging server system 108 according to some examples. Although the contents of the database 120 are illustrated as including several tables, it should be understood that data may be stored in other types of data structures (e.g., as an object-oriented database).

[0043] The database 120 includes message data stored in a message table 302. For any particular message, the message data includes at least message sender data, message recipient (or receiver) data, and a payload. Figure 4 Additional details regarding information that may be included in a message and included within the message data stored in message table 302 are described.

[0044] The entity table 304 stores entity data and is linked (e.g., by reference) to the entity graph 306 and profile data 308. The entities for which records are maintained within the entity table 304 may include individuals, corporate entities, organizations, objects, places, events, etc. Regardless of the entity type, any entity about which the messaging server system 108 stores data may be an identified entity. Each entity is provided with a unique identifier as well as an entity type identifier (not shown).

[0045] Entity graph 306 stores information about relationships and associations between entities. By way of example only, such relationships may be social, professional (e.g., working in a common company or organization), interest-based, or activity-based.

[0046] Profile data 308 stores various types of profile data about a particular entity. As described above, users in the messaging system are represented by respective profiles that store information about the associated user. Based on the privacy settings specified by the particular entity, profile data 308 may be selectively used and presented to other users of the messaging system. Where the entity is a person, profile data 308 includes, for example, a user name, phone number, address, settings (e.g., notification and privacy settings), and an avatar representation (or a collection of such avatar representations) selected by the user.

[0047] The database 120 also stores enhancement data in the enhancement table 310. The enhancement data is associated with and applied to videos (whose data is stored in the video table 314) and images (whose data is stored in the image table 316). In some examples, the enhancement data is used by various AR components including the AR component. An example of enhancement data is a virtual color reference card generated by the color calibration tool 202 based on a representation of a physical color reference card in the output of the digital image sensor of the camera of the computing device.

[0048] Another example of augmented data is an augmented reality (AR) tool that can be used in an AR component to implement image transformation. Image transformation includes real-time modification of an image (e.g., a video frame) when it is captured using a digital image sensor of the client device 102. The modified image is displayed on the screen of the client device 102 together with the modification. The AR tool can also be used to modify stored content, such as modifying a video clip or a still image stored in a gallery. In a client device 102 that can access multiple AR tools, a user can apply different AR tools (e.g., by using different AR components configured to utilize different AR tools) to a single video clip to see how different AR tools will modify the same video clip. For example, by selecting different AR tools for the same captured content, multiple AR tools that apply different pseudo-random movement models can be applied to the same captured content. Similarly, real-time video capture can be used with the modifications shown to show how the video image currently being captured by the digital image sensor of the camera provided by the client device 102 will modify the captured data. Such data may be displayed only on the screen and not stored in memory, or the content captured by the digital image sensor may be recorded and stored in memory with or without modification (or in both cases). The messaging client 104 may be configured to include a preview feature that can simultaneously display in different windows of the display what the modifications produced by different AR tools will look like. For example, this can allow a user to simultaneously view multiple windows on the display presenting different pseudo-random animations.

[0049] In some examples, when a specific modification is selected together with the content to be transformed, the element to be transformed is identified by the computing device, and then if the element to be transformed exists in the frame of the video, the element to be transformed is detected and tracked. The elements of the object are modified according to the modification request, thereby transforming the frame of the video stream. For different types of transformations, the frame of the video stream can be transformed by different methods. For example, for frame transformations that mainly involve changing the form of the elements of the object, the characteristic points of each element of the object are calculated (for example, using an active shape model (ASM) or other known methods). Then, a grid based on the characteristic points is generated for each element of at least one element of the object. The grid is used for the subsequent stages of tracking the elements of the object in the video stream. In the tracking process, the grid mentioned for each element is aligned with the position of each element. Then, additional points are generated on the grid. A first set of first points is generated for each element based on the modification request, and a set of second points is generated for each element based on the set of first points and the modification request. Then, the frame of the video stream can be transformed by modifying the elements of the object based on the set of first points and the set of second points and the grid. In such methods, the background of the modified object may also be changed or distorted by tracking and modifying the background.

[0050] As mentioned above, video table 314 stores video data, which in some examples is associated with messages whose records are maintained within message table 302. Similarly, image table 316 stores image data associated with messages whose message data is stored in entity table 304. Entity table 304 may associate various enhancements in enhancement table 310 with various images and videos stored in image table 316 and video table 314.

[0051] Processing Flow

[0052] In one example implementation, some or all of the processing logic resides in Figure 1 The client device 102 and / or Figure 1 The method 400 starts at operation 410, at which: Figure 2 The color calibration system 202 detects a virtual color reference card in an output of a digital image sensor of a camera of the computing device. The computing device, which in some examples is a pair of AR glasses, includes a see-through display substantially located in a field of view of the camera. The field of view of the camera defines an area of ​​a real-world environment that the camera can capture. The virtual color reference card represents a physical color reference object that can be seen through a transparent lens of the AR glasses. In some examples, the virtual color reference card can be detected by identifying at least a predetermined number of different colors in substantially adjacent locations in the output of the digital image sensor of the computing device.

[0053] At operation 420, the color calibration system 202 generates a color calibration UI. The color calibration UI includes a virtual color reference card and user-selectable elements for color calibrating the see-through display. In a real-world environment, a physical color reference object is located at a location in the field of view of a camera of the computing device. As further described below Figure 5 and Figure 6 As shown in , the virtual color reference card is superimposed on the field of view at a second position so that it does not obstruct the viewing of the physical virtual color reference card through the transparent lens of the AR glasses. As described above, when the user adjusts the color parameters of the display device, superimposing the virtual color reference card on the field of view at a second position enables the user to compare the colors in the virtual color reference card with the colors in the physical reference card. The user-selectable element that can be used to color calibrate the perspective display is in the form of a slider. In some examples, the first control in the user-selectable element is a vertically oriented slider that can be used to adjust the hue. For example, the first control can be configured to select from a plurality of hues including red, green, and blue. The second control in the user-selectable element is a horizontally oriented slider for adjusting the color temperature of the hue indicated by the setting of the first control. In some examples, the color calibration UI does not include a control for adjusting brightness.

[0054] At operation 430 , color calibration system 202 causes display of a color calibration UI on the see-through display of the computing device.

[0055] The user can adjust the hue and color temperature by interacting with the user-selectable elements with the help of gestures. In some examples, when a finger is detected in the output of the digital sensor of the camera device, a simple rule classifier can be used to recognize the gesture. In the rule classifier, the gesture is predicted based on the number and content of the detected fingers. The color calibration system 202 detects user interactions with the user-selectable elements, and in response, changes the controls so that the changes to the controls are visible in the color calibration UI. For example, the color calibration system 202 causes the user-selectable elements to move in response to the detected user interactions with the user-selectable elements. The color calibration system 202 adjusts the parameters of the perspective display of the computing device in response to detecting changes in user-selectable elements, such as changes in the position of a slider that controls the hue and / or changes in the position of a slider that controls the color temperature. The user can continue to adjust the properties of the perspective display device by interacting with the user-selectable elements in the color calibration UI until the color of the virtual color reference card superimposed on the field of view of the wearer of the AR glasses matches the color of the physical color reference card seen by the wearer of the AR glasses.

[0056] user interface

[0057] Figure 5A view 500 according to some examples is shown. View 500 includes a physical color reference card 510 viewed through the AR glasses and a color calibration UI including a virtual color reference card 520, a vertically oriented slider 530 that can be used to adjust the hue, and a horizontally oriented slider 540 for adjusting the color temperature of the hue indicated by the setting of the first control. Different patterns in each cell of the physical color reference card 510 and the virtual color reference card 520 represent different colors. In the virtual color reference card 520, the pattern is similar to but not identical to the pattern in the physical color reference card 510, as indicated by the dots added in each pattern in the virtual color reference card 520. Figure 6 As shown, adjusting the properties (hue / color temperature values) of the see-through display device will achieve a more accurate display of color, which can be evaluated by comparing the resulting display of the virtual color reference card 520.

[0058] Figure 6 Another view 600 is shown, which includes a physical color reference card 610 viewed through the AR glasses and a color calibration UI, which includes a virtual color reference card 620, a vertically oriented slider 630 that can be used to adjust the hue, and a horizontally oriented slider 640 for adjusting the color temperature of the hue indicated by the setting of the vertically oriented slider 630.

[0059] View 600 also shows a visualization of a horizontal gesture by a curved up / down arrow and a stylized picture of a hand next to a vertically oriented slider 630 that can be used to adjust the hue. View 600 also shows a visualization of a horizontal gesture by a curved right / left arrow and a stylized picture of a hand next to a horizontally oriented slider 640 that is used to adjust the color temperature of the hue indicated by the setting of the vertically oriented slider 630.

[0060] Although in Figure 5 In the example, as indicated by the added dots in each pattern in the virtual color reference card 520, the corresponding patterns in each cell of the physical color reference card 510 and the virtual color reference card 520 are similar but not identical, however, Figure 6 As a result of the color adjustment, the corresponding patterns in each cell of the physical color reference card 510 and the virtual color reference card 520 are the same.

[0061] Machine Architecture

[0062] Figure 7608 (e.g., software, programs, applications, applet, app, or other executable code) for causing the machine 700 to perform any one or more of the methods discussed herein. For example, the instructions 708 may cause the machine 700 to perform any one or more of the methods described herein. The instructions 708 convert a general-purpose, non-programmed machine 700 into a specific machine 700 that is programmed to perform the functions described and illustrated in the manner described. The machine 700 may operate as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine 700 may operate as a server machine or a client machine in a server-client network environment or as a peer machine in a peer-to-peer (or distributed) network environment. The machine 700 may include, but is not limited to, a server computer, a client computer, a personal computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (STB), a personal digital assistant (PDA), an entertainment media system, a cellular phone, a smart phone, a mobile device, a wearable device (e.g., a smart watch), a smart home device (e.g., a smart appliance), other smart devices, a web appliance, a network router, a network switch, a network bridge, or any machine capable of sequentially or otherwise executing instructions 708 specifying actions to be taken by the machine 700. In addition, although only a single machine 700 is shown, the term "machine" should also be considered to include a collection of machines that individually or jointly execute instructions 708 to perform any one or more of the methods discussed herein. For example, the machine 700 may include a client device 102 or any server device of a plurality of server devices that form part of the messaging server system 108. In some examples, the machine 700 may also include both a client system and a server system, wherein certain operations of a particular method or algorithm are performed on the server side and certain operations of the particular method or algorithm are performed on the client side.

[0063] The machine 700 may include a processor 702, a memory 704, and an input / output I / O component 738, which may be configured to communicate with each other via a bus 740. In an example, the processor 702 (e.g., a central processing unit (CPU), a reduced instruction set computing (RISC) processor, a complex instruction set computing (CISC) processor, a graphics processing unit (GPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a radio frequency integrated circuit (RFIC), other processors, or any suitable combination thereof) may include, for example, a processor 706 and a processor 710 that execute instructions 708. The term "processor" is intended to include multi-core processors, which may include two or more independent processors (sometimes referred to as "cores") that can execute instructions simultaneously. Although Figure 7 Multiple processors 702 are shown, but machine 700 may include a single processor with a single core, a single processor with multiple cores (e.g., a multi-core processor), multiple processors with a single core, multiple processors with multiple cores, or any combination thereof.

[0064] The memory 704 includes a main memory 712, a static memory 714, and a storage unit 716, which are all accessible by the processor 702 via the bus 740. The main memory 704, the static memory 714, and the storage unit 716 store instructions 708 that embody any one or more of the methodologies or functions described herein. The instructions 708 may also reside, completely or partially, within the main memory 712, within the static memory 714, within the machine-readable medium 718 within the storage unit 716, within at least one of the processors 702 (e.g., within a cache memory of a processor), or within any suitable combination thereof during execution thereof by the machine 700.

[0065] I / O components 738 may include various components for receiving input, providing output, generating output, sending information, exchanging information, capturing measurements, etc. The specific I / O components 738 included in a particular machine will depend on the type of machine. For example, a portable machine such as a mobile phone may include a touch input device or other such input mechanism, while a headless server machine will be less likely to include such a touch input device. It should be understood that I / O components 738 may include Figure 7720 , and the like. In various examples, the I / O components 738 may include a user output component 724 and a user input component 726. The user output component 724 may include a visual component (e.g., a display such as a plasma display panel (PDP), a light emitting diode (LED) display, a liquid crystal display (LCD), a projector, or a cathode ray tube (CRT)), an auditory component (e.g., a speaker), a tactile component (e.g., a vibration motor, a resistance mechanism), other signal generators, etc. The user input component 726 may include an alphanumeric input component (e.g., a keyboard, a touch screen configured to receive alphanumeric input, an optical keyboard, or other alphanumeric input component), a pointing-based input component (e.g., a mouse, a touch pad, a trackball, a joystick, a motion sensor, or other pointing instrument), a tactile input component (e.g., a physical button, a touch screen or other tactile input component that provides location and force of a touch or touch gesture), an audio input component (e.g., a microphone), etc.

[0066] In another example, the I / O component 738 may include a biometric component 728, a motion component 730, an environmental component 732, or a position component 734, as well as a variety of other components. For example, the biometric component 728 includes components for detecting expressions (e.g., hand expressions, facial expressions, voice expressions, body postures, or eye tracking), measuring biosignals (e.g., blood pressure, heart rate, body temperature, sweating, or brain waves), identifying people (e.g., voice recognition, retinal recognition, facial recognition, fingerprint recognition, or EEG-based recognition), etc. The motion component 730 includes an acceleration sensor component (e.g., an accelerometer), a gravity sensor component, and a rotation sensor component (e.g., a gyroscope).

[0067] The environmental component 732 includes, for example, one or more cameras (with still imaging / video and video recording capabilities), an illumination sensor component (e.g., a photometer), a temperature sensor component (e.g., one or more thermometers that detect ambient temperature), a humidity sensor component, a pressure sensor component (e.g., a barometer), an acoustic sensor component (e.g., one or more microphones that detect background noise), a proximity sensor component (e.g., an infrared sensor that detects nearby objects), a gas sensor (e.g., a gas detection sensor that detects concentrations of hazardous gases for safety or measures pollutants in the atmosphere), or other components that can provide indications, measurements, or signals corresponding to the surrounding physical environment.

[0068] With respect to cameras, client device 102 can have a camera system including, for example, a front-facing camera on a front surface of client device 102 and a rear-facing camera on a rear surface of client device 102. The front-facing camera can, for example, be used to capture still images and videos (e.g., “selfies”) of a user of client device 102, which can then be enhanced using the enhancement data (e.g., filters) described above. The rear-facing camera can, for example, be used to capture still images and videos in a more traditional camera mode, where the images are similarly enhanced using the enhancement data. In addition to the front-facing camera and the rear-facing camera, client device 102 can also include a 360° camera for capturing 360° photos and videos.

[0069] Additionally, the camera system of the client device 102 may include dual rear cameras (e.g., a main camera and a depth sensing camera), or even three, four, or five rear camera configurations on the front and back sides of the client device 102. For example, these multi-camera systems may include a wide-angle camera, an ultra-wide-angle camera, a telephoto camera, a macro camera, and a depth sensor.

[0070] The location component 734 includes a positioning sensor component (e.g., a GPS receiver component), an altitude sensor component (e.g., an altimeter or barometer that detects air pressure, from which the altitude can be obtained), an orientation sensor component (e.g., a magnetometer), etc.

[0071] Various technologies may be used to achieve communication. The I / O components 738 also include a communication component 736 that is operable to couple the machine 700 to the network 720 or device 722 via a corresponding coupling or connection. For example, the communication component 736 may include a network interface component or another suitable device for interfacing with the network 720. In other examples, the communication component 736 may include a wired communication component, a wireless communication component, a cellular communication component, a near field communication (NFC) component, Parts (e.g. Low power consumption), Device 722 may be another machine or any of a variety of peripheral devices (eg, a peripheral device coupled via USB).

[0072] In addition, the communication component 636 can detect the identifier or include a component that is operable to detect the identifier. For example, the communication component 636 can include a radio frequency identification (RFID) tag reader component, an NFC smart tag detection component, an optical reader component (e.g., an optical sensor for detecting one-dimensional bar codes such as universal product codes (UPC) bar codes, multi-dimensional bar codes such as quick response (QR) codes, Aztec codes, data matrix (Data Matrix), data symbol (Dataglyph), maximum code (MaxiCode), PDF417, Ultra Code (Ultra Code), UCC RSS-2D bar codes and other optical codes) or an acoustic detection component (e.g., a microphone for identifying tagged audio signals). In addition, various information can be obtained via the communication component 736, such as positioning via Internet Protocol (IP) geographic location, obtaining location information via Positioning is obtained through signal triangulation, positioning is obtained via detection of NFC beacon signals that can indicate a specific position, etc.

[0073] Various memories (e.g., main memory 712, static memory 714, and memory of processor 702) and storage unit 716 may store one or more sets of instructions and data structures (e.g., software) that embody any one or more of the methods or functions described herein or are used by these methods or functions. These instructions (e.g., instructions 708) when executed by processor 702 cause various operations to implement the disclosed examples.

[0074] The instructions 708 may be sent or received over the network 720 via a network interface device (e.g., a network interface component included in the communication component 736) using a transmission medium and using any of a number of well-known transmission protocols (e.g., the Hypertext Transfer Protocol (HTTP)). Similarly, the instructions 708 may be sent or received via a coupling (e.g., a peer-to-peer coupling) with the device 722 using a transmission medium.

[0075] Glossary

[0076] "Carrier signal" refers to any intangible medium that can store, encode or carry instructions for execution by a machine and includes digital or analog communications signals or other intangible media to facilitate communication of these instructions. Instructions may be sent or received over a network using a transmission medium via a network interface device.

[0077] "Client Device" refers to any machine that interfaces with a communications network to obtain resources from one or more server systems or other client devices. A client device may be, but is not limited to, a mobile phone, a desktop computer, a laptop computer, a portable digital assistant (PDA), a smart phone, a tablet computer, an ultrabook, a netbook, a laptop computer, a multiprocessor system, a microprocessor-based or programmable consumer electronics product, a game console, a set-top box, or any other communications device that a user may use to access a network.

[0078] "Communications network" means one or more parts of a network, which may be an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a part of the Internet, a part of the public switched telephone network (PSTN), a plain old telephone service (POTS) network, a cellular telephone network, a wireless network, A network, other type of network, or a combination of two or more such networks. For example, the network or a portion of the network may include a wireless or cellular network, and the coupling may be a code division multiple access (CDMA) connection, a global system for mobile communications (GSM) connection, or other type of cellular or wireless coupling. In this example, the coupling may implement any of various types of data transmission technologies, such as single carrier radio transmission technology (1xRTT), evolution data optimized (EVDO) technology, general packet radio service (GPRS) technology, enhanced data rate for GSM evolution (EDGE) technology, the third generation partnership project (3GPP) including 3G, fourth generation wireless (4G) network, universal mobile telecommunications system (UMTS), high speed packet access (HSPA), world wide interoperability for microwave access (WiMAX), long term evolution (LTE) standard, other standards defined by various standard setting organizations, other long distance protocols, or other data transmission technologies.

[0079] "Component" refers to a device, a physical entity, or logic whose boundaries are defined by function or subroutine calls, branch points, APIs, or other techniques that provide partitioning or modularization for specific processing or control functions. A component can be combined with other components via its interface to perform machine processing. A component can be a packaged functional hardware unit designed for use with other components and can be part of a program that generally performs a specific function in a related function. A component can constitute a software component (e.g., a code embodied on a machine-readable medium) or a hardware component. A "hardware component" is a tangible unit that can perform certain operations and can be configured or arranged in a certain physical manner. In various example embodiments, one or more computer systems (e.g., an independent computer system, a client computer system, or a server computer system) or one or more hardware components (e.g., a processor or a processor group) of a computer system can be configured by software (e.g., an application or an application part) to be a hardware component that operates to perform certain operations as described herein. Hardware components can also be implemented mechanically, electronically, or in any suitable combination thereof. For example, a hardware component may include a dedicated circuit or logic that is permanently configured to perform certain operations. The hardware component may be a dedicated processor, such as a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC). The hardware component may also include a programmable logic or circuit that is temporarily configured to perform certain operations by software. For example, the hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, the hardware component becomes a specific machine (or a specific component of a machine) that is uniquely customized to perform the configured function, and is no longer a general-purpose processor. It should be understood that it can be decided whether to implement the hardware component mechanically, in a dedicated and permanently configured circuit, or in a temporarily configured (e.g., configured by software) circuit for cost and time considerations. Therefore, the phrase "hardware component" (or "hardware-implemented component") should be understood to include a tangible entity, that is, an entity that is physically constructed, permanently configured (e.g., hardwired) or temporarily configured (e.g., programmed) to operate in some way or perform certain operations described herein. Considering an embodiment in which the hardware component is temporarily configured (e.g., programmed), it is not necessary to configure or instantiate each hardware component in the hardware component at any time. For example, in the case where a hardware component includes a general-purpose processor that is configured by software to become a special-purpose processor, the general-purpose processor can be configured as different special-purpose processors (e.g., including different hardware components) at different times. Software accordingly configures one or more specific processors to, for example, constitute a specific hardware component at one time and constitute different hardware components at different times. Hardware components can provide information to other hardware components and receive information from other hardware components. Therefore, the described hardware components can be considered to be communicatively coupled.In the case of multiple hardware components being present at the same time, communication can be achieved by signal transmission (e.g., by appropriate circuits and buses) between or among two or more hardware components in the hardware components. In an embodiment where multiple hardware components are configured or instantiated at different times, communication between such hardware components can be achieved, for example, by storing information in a memory structure to which multiple hardware components have access rights and retrieving information in the memory structure. For example, a hardware component can perform an operation, and the output of the operation is stored in a memory device coupled to it in communication. Then, other hardware components can access the memory device at a subsequent time to retrieve the stored output and process it. The hardware component can also initiate communication with an input device or an output device, and can operate on resources (e.g., a collection of information). The various operations of the example methods described herein can be performed at least in part by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform related operations. Whether it is temporarily configured or permanently configured, such a processor can constitute a processor-implemented component that operates to perform one or more operations or functions described herein. As used herein, "processor-implemented components" refer to hardware components implemented using one or more processors. Similarly, the method described herein can be implemented at least in part by a processor, wherein one or more specific processors are examples of hardware. For example, at least some of the operations in the operation of the method can be performed by one or more processors 702 or a component implemented by the processor. In addition, one or more processors can also operate to support the execution of related operations in a "cloud computing" environment or as a "software as a service" (SaaS) operation. For example, at least some of the operations in the operation can be performed by a computer group (as an example of a machine including a processor), wherein these operations can be accessed via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., API). The execution of certain operations can be distributed between processors, not only resident in a single machine, but deployed across multiple machines. In some example embodiments, a processor or a component implemented by a processor can be located in a single geographic location (e.g., in a home environment, an office environment, or a server cluster). In other example embodiments, a processor or a component implemented by a processor can be distributed across multiple geographic locations.

[0080] "Computer-readable storage media" refers to both machine storage media and transmission media. Thus, the term includes both storage devices / media and carrier / modulated data signals. The terms "machine-readable medium," "computer-readable medium," and "device-readable medium" mean the same thing and may be used interchangeably in this disclosure.

[0081] “Machine storage media” refers to a single or multiple storage devices and media (e.g., centralized or distributed databases, and associated caches and servers) that store executable instructions, routines, and data. Thus, the term should be considered to include, but is not limited to, solid-state memory and optical and magnetic media, including memory internal or external to the processor. Specific examples of machine storage media, computer storage media, and device storage media include: non-volatile memory, including, for example, semiconductor memory devices such as erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), FPGA, and flash memory devices; magnetic disks, such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. The terms “machine storage media,” “device storage media,” and “computer storage media” mean the same thing and may be used interchangeably in this disclosure. The terms “machine storage media,” “computer storage media,” and “device storage media” expressly exclude carrier waves, modulated data signals, and other such media, at least some of which are encompassed by the term “signal media.”

[0082] “Non-transitory computer-readable storage medium” refers to tangible media capable of storing, encoding, or carrying instructions to be executed by a machine.

[0083] "Signal media" refers to any intangible medium that is capable of storing, encoding or carrying instructions executed by a machine, and "signal media" includes digital or analog communication signals or other intangible media to facilitate the transfer of software or data. The term "signal medium" should be deemed to include any form of modulated data signals, carrier waves, etc. The term "modulated data signal" means a signal that sets or changes one or more of the characteristics of the signal in a manner that encodes the information in the signal. The terms "transmission medium" and "signal medium" mean the same thing and may be used interchangeably in this disclosure.

Claims

1. A method comprising: detecting a virtual color reference card in an output of a digital image sensor of a camera of a computing device, the computing device comprising a see-through display located substantially in a field of view of the camera, the virtual color reference card representing a physical color reference card located at a first position in the field of view of the camera; generating a color calibration user interface (UI) comprising the virtual color reference card superimposed on the field of view at a second position and user-selectable elements for color calibrating the see-through display; as well as The color calibration UI is caused to be displayed on a see-through display of the computing device.

2. The method according to claim 1, wherein: The first of the user selectable elements is a vertically oriented slider for adjusting hue.

3. The method according to claim 2, wherein: The first control is used to select from a plurality of hues including red, green and blue.

4. The method according to claim 1, wherein: The second control in the user-selectable element is a horizontally-oriented slider for adjusting the color temperature of the hue indicated by the setting of the first control in the user-selectable element.

5. The method according to claim 1, comprising: detecting changes to controls in the user-selectable element; as well as In response to the detecting, a color parameter of a see-through display of the computing device is adjusted.

6. The method according to claim 1, comprising: detecting user interaction with a control in the user-selectable element; as well as Responsive to the detecting, a change is made to the control in the user-selectable element.

7. The method according to claim 6, wherein: The user interaction is a gesture.

8. The method according to claim 1, wherein: The computing device is AR glasses.

9. The method according to claim 1, wherein: Detecting the virtual color reference card includes identifying at least a predetermined number of different colors in substantially adjacent locations in an output of a digital image sensor of the camera device.

10. The method according to claim 1, wherein: The color calibration UI does not include controls for adjusting brightness.

11. A system comprising: one or more processors; as well as A non-transitory computer-readable storage medium comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: detecting a virtual color reference card in an output of a digital image sensor of a camera of a computing device, the computing device comprising a see-through display located substantially in a field of view of the camera, the virtual color reference card representing a physical color reference card located at a first position in the field of view of the camera; generating a color calibration user interface (UI) comprising the virtual color reference card superimposed on the field of view at a second position and user-selectable elements for color calibrating the see-through display; as well as The color calibration UI is caused to be displayed on a see-through display of the computing device.

12. The system according to claim 11, wherein: The first of the user selectable elements is a vertically oriented slider for adjusting hue.

13. The system according to claim 12, wherein: The first control is used to select from a plurality of hues including red, green and blue.

14. The system according to claim 11, wherein: The second control in the user-selectable element is a horizontally-oriented slider for adjusting the color temperature of the hue indicated by the setting of the first control in the user-selectable element.

15. The system according to claim 11, comprising: detecting changes to controls in the user-selectable element; as well as In response to the detecting, a color parameter of a see-through display of the computing device is adjusted.

16. The system according to claim 11, comprising: detecting user interaction with a control in the user-selectable element; as well as Responsive to the detecting, a change is made to the control in the user-selectable element.

17. The system of claim 16, wherein: The user interaction is a gesture.

18. The system of claim 11, wherein: The computing device is AR glasses.

19. The system of claim 11, wherein: Detecting the virtual color reference card includes identifying at least a predetermined number of different colors in substantially adjacent locations in an output of a digital image sensor of the camera device.

20. A machine-readable non-transitory storage medium having instruction data, the instruction data being executable by a machine to cause the machine to perform an operation, the operation comprising: detecting a virtual color reference card in an output of a digital image sensor of a camera of a computing device, the computing device comprising a see-through display located substantially in a field of view of the camera, the virtual color reference card representing a physical color reference card located at a first position in the field of view of the camera; generating a color calibration user interface (UI) comprising the virtual color reference card superimposed on the field of view at a second position and user-selectable elements for color calibrating the see-through display; as well as The color calibration UI is caused to be displayed on a see-through display of the computing device.

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