Augmented reality image reproduction assistant

Abstract

An image replication assistant is a computing application configured to use legacy media on a physical canvas to assist a user in copying a digital image to the physical canvas. An image replication assistant utilizes augmented reality techniques to present features of a digital image projected onto a physical canvas. The image replication assistant detects previously generated indicia in an output of a digital image sensor of a camera of the computing device, and calculates planes and boundaries of a surface of the physical canvas using the detected indicia. The image replication assistant uses the calculated planes and boundaries to determine the location of the digital image on the display of the computing device.

Description

[0001] Priority claim

[0002] This application claims the benefit of priority to U.S. Application No. 17 / 852,134, filed on June 28, 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 content online and interact with other users continues to grow, various computer-implemented tools are being developed to allow users to share content with other users through messaging clients. Some of such computer-implemented applications (referred to as apps) can be designed to run on mobile devices such as phones, tablets, or wearable devices, while having back-end services provided on server computer systems to perform operations that may require more resources than the reasonable resources required to perform at the client device (e.g., storing large amounts of data or performing computationally expensive processing). Various computer-implemented tools are being developed to allow users to experience so-called augmented reality. Augmented reality (often abbreviated as AR) is to enhance the environment of the real world, such as viewed through a camera lens, by superimposing digital content on the view of the real world presented on the display of the user device. Examples of user devices include AR glasses, tablets, and smart phones. BRIEF DESCRIPTION OF THE DRAWINGS

[0005] In the accompanying drawings, like numbers 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 numerals 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:

[0006] Figure 1 is a diagrammatic representation of a networked environment in which a location-based shared augmented reality (AR) experience system may be deployed, according to some examples.

[0007] Figure 2 is a diagrammatic representation of a messaging system having both client-side and server-side functionality and including a location-based shared AR experience system according to some examples.

[0008] Figure 3 is a diagrammatic representation of data structures as maintained in a database according to some examples.

[0009] Figure 4is a flow chart of a method performed by an image copy assistant according to some examples.

[0010] Figure 5 Shown is a view of a physical canvas according to some examples.

[0011] Figure 6 Additional views of a physical canvas are shown according to some examples.

[0012] Figure 7 Shown is the view seen by a wearer of AR glasses executing an image replication assistant according to some examples.

[0013] Figure 8 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 are configured to be executed at a user device such as a tablet, a smart phone, or AR glasses. AR glasses (also referred to as AR smart glasses or simply 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 the superimposed computer-generated information through the lens of the glasses. The real-world view enhanced by the superimposed computer-generated information can be achieved by combining a transparent lens with a digital display (e.g., a light emitting diode (LED) display or an organic light emitting diode (OLED) display). For example, the digital display of AR glasses can display an AR overlay (e.g., a digital image of a magical creature) just as the AR overlay is located in front of the wearer of the AR glasses in real life. The AR-enabled computing application can be configured to display the source image on the display of the AR glasses in such a way that for the wearer of the AR glasses, the source image looks like it is superimposed on or projected onto a physical canvas. Projecting the source image onto a physical canvas can help assist the wearer of the AR glasses to copy the source image on the physical canvas using a physical medium such as oil paint or watercolor paint.

[0016] In some examples, a source image is displayed on a display of the AR glasses at a location calculated based on a representation of a physical canvas in the output of a digital image sensor of a camera device of the AR glasses. For the purposes of this description, the computer-generated information provided on the display of the AR glasses is referred to as a digital layer. The digital layer may include a source image located on the display of the AR glasses as if superimposed on a physical canvas. The portion of the digital layer that includes the source image located on the display of the AR glasses as if superimposed on the physical canvas may be referred to as a digital canvas. In order to assist the wearer of the AR glasses in replicating the source image on the physical canvas, it is important that the digital layer containing the source image matches the plane and size of the physical canvas with greater accuracy than in some other AR-enabled applications, because even a small offset of the surface of the canvas may render the projection of the source image unusable for replication purposes.

[0017] The technical challenge of stably detecting the plane and size of the physical canvas to maintain the position of the source image on the display relative to the physical canvas is addressed by providing an AR-enabled computing application referred to as an image replication assistant.

[0018] The image replication assistant is configured to: detect previously generated markers in the output of the digital image sensor of the camera device of the user device; use the detected markers to calculate the plane and boundary of the surface of the physical canvas; and construct a digital canvas based on the calculated plane and boundary. The constructed digital canvas is aligned with the physical canvas viewed by the user through the AR glasses.

[0019] The image copy assistant can be configured to use a previously generated quick response (QR) code as a marker. For example, a physical label depicting a QR code can be attached to a frame holding a physical canvas or to the corners of a physical canvas using a pin. The QR code may include instructions for calculating planes and boundaries describing the associated physical surface. For example, the QR code may include instructions for calculating a plane using three points. In another example, where a user attaches four markers (labels depicting the QR code), the QR code includes instructions for calculating a plane using four points. In some embodiments, more markers may also be used, for example in the middle of the corners and edges of the physical canvas. For the purposes of this description, the phrase physical canvas refers to any surface on which an image is superimposed to assist a user in painting or drawing an image on the physical surface.

[0020] In some examples, the image copy assistant is provided by a messaging system configured to facilitate network communications between user devices.

[0021] Networked computing environment

[0022] Figure 11 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. The 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 handles incoming network requests via the Hypertext Transfer Protocol (HTTP) and several other related protocols. In some examples, the web server 124 hosts a backend for the image copy assistant described herein.

[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 within a social graph; and opening application events (e.g., related to a messaging client 104).

[0028] The application server 112 hosts multiple 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 multiple message processing technologies and functions, particularly messaging technologies and functions related to 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 the functionality provided by the image replication assistant described herein.

[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 other entities and interests of the 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 is an authoritative source of events in a multiplayer game, meaning 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 through their respective user devices. In some examples, a multiplayer game is an AR experience shared by multiple users. As mentioned 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 from different angles, while also being able to manipulate virtual objects provided by the shared AR experience by interacting with the active UI of the shared UI experience.

[0032] System Architecture

[0033] Figure 2 2 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 includes a number of 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, an image copy assistant 202, an augmentation system 206, a map system 210, and a gaming system 212.

[0034] The image copy assistant 202 is configured to detect a number of copies of the visual marker in the output of the digital image sensor of the camera of the user device and calculate the plane and boundary of the physical canvas represented in the output of the digital image sensor. Based on the detected copies of the visual marker, the image copy assistant 202 detects the position of the source image on the display of the user device according to the calculated plane and boundary and causes the source image to be displayed at the determined position.

[0035] Enhancement system 206 provides various functions that enable a user 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 the field of view, enter the field of view, and move around the field of view, and modifying or transforming these objects 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 points on the 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, or 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 implementations, image copy assistant 202 uses augmentation system 206 as an AR engine to facilitate detecting several copies of previously generated visual markers in the output of a digital image sensor of a camera of a user device.

[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 user icons or avatars (e.g., stored in the profile data 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 by a user to the messaging system 100 from a particular geographic location can be displayed to a particular user's "friends" on the mapping interface of the messaging client 104 within the context of a map of that particular location. The user can also share his or her location and status information with other users of the messaging system 100 (e.g., using an appropriate status avatar) via the messaging client 104, where the location and status information is similarly displayed to the selected user within the context of the mapping 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 be facilitated by the image replication assistant 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 a plurality of 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] The entity graph 306 stores information about relationships and associations between entities. Such relationships may be social, professional (e.g., working in a common company or organization), interest-based, or activity-based, by way of example only.

[0046] Profile data 308 stores multiple types of profile data about a particular entity. As explained above, users in the messaging system are represented by corresponding profiles that store information about the associated user. Based on the privacy settings specified by the particular entity, profile data 308 can be selectively used and presented to other users of the messaging system. In the case 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. Profile data 308 may include information about users that can be accessed by image replication assistant 202. Information about users that can be accessed by image replication assistant 202 includes, for example, saved image replication sessions generated by image replication assistant 202.

[0047] The database 120 also stores augmentation data in augmentation table 310. Augmentation data is associated with and applied to videos (whose data is stored in video table 314) and images (whose data is stored in image table 316). In some examples, augmentation data is used by various AR components including AR components. An example of augmentation data is a source image, which can be the subject of a replication process assisted by image replication assistant 202.

[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 both). The messaging client 104 may be configured to include a preview feature that can simultaneously display in different windows of the display what modifications produced by different AR tools will look like. For example, this can allow a user to simultaneously view multiple windows presenting different pseudo-random animations on the display.

[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 is present 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 transformation of the video stream can be performed 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 stage 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 a method, the background of the modified object can 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 begins at operation 410, when Figure 2 The image copying assistant 202 generates a visual marker that can be used in the AR-assisted copying process. In one example, the marker is a QR code or a high-resolution image with a lot of detail and contrast. In the example where the marker is a QR code, the QR code includes instructions for calculating the plane and boundaries of the surface of the physical canvas using a predetermined number of reference points.

[0053] At operation 420, the image copy assistant 202 detects several copies of the visual marker in the output of the digital image sensor of the camera of the user device. The copies of the visual marker may be printed on physical labels and manually affixed to the corners of the physical canvas.

[0054] At operation 430, the image copy assistant 202 calculates the plane and boundaries of the physical canvas represented in the output of the digital image sensor based on the detected copy of the visual marker. For example, the image copy assistant 202 calculates a projection matrix using an inverse linear transformation, and then applies the projection matrix to the source image to project the source image onto the display of the user device.

[0055] At operation 430, the image copy assistant 202 determines the location of the source image on the display of the user device based on the calculated plane and boundary. In one example, the source image is a digital image previously uploaded to the user device. At operation 440, the image copy assistant 202 causes the source image to be displayed on the display at the determined location.

[0056] In some examples, image copy assistant 202 causes a user-selectable element to be displayed on a display of the user device that can be activated to change the brightness of the source image. The user-selectable element can be configured to be activated in response to a gesture or voice command detected at the user device. In order to optimize energy usage of the user device, image copy assistant 202 can be configured to turn off the display of the user device after a predetermined period of time, and to turn the display back on in response to a predetermined gesture or voice command.

[0057] user interface

[0058] Figure 5 5 is a schematic diagram showing a view of a physical canvas. View 510 is a view of a blank physical canvas and four markers 512 attached to the four corners of the physical canvas. In some examples, markers 512 are physically attached to the corners of the physical canvas and depict a previously generated QR code that includes instructions for calculating the plane and boundaries of the surface of the physical canvas using four reference points.

[0059] View 520 is a view of the physical canvas seen by a user wearing AR glasses, in which the viewer sees the physical canvas with a source image depicting a human face, the source image appearing to be projected onto the physical canvas. This effect is achieved by combining a transparent lens with a digital display and displaying the source image at a location on the digital display that has been determined based on the plane and boundaries of the physical canvas, where the plane and boundaries of the physical canvas are calculated based on the corresponding positions of markers 512.

[0060] Figure 66 is a schematic diagram showing other views of the physical canvas. In view 610, the physical canvas depicts a projected source image (shown by thinner lines) and a partial copy of the source image (shown by thicker lines). The partial copy of the source image is created by a physical medium on a physical canvas in the real world, such as by ink or pencil. View 620 is a physical canvas depicting the partial copy of the source image created by the physical medium as seen without any digital overlay of the source image.

[0061] Figure 7 700 is a view as seen by a wearer of AR glasses performing an image copying assistant. In area 710, view 700 includes a source image depicting a face at a position determined based on the calculated planes and boundaries, and a partial copy of the source image created by a physical medium on a physical canvas (shown by a thicker line). View 700 also includes a brightness control 720 and a visual indication 730, which is intended to convey that the brightness control can be used to increase or decrease the brightness of the display using a gesture.

[0062] Machine Architecture

[0063] Figure 8800 within which instructions 808 (e.g., software, programs, applications, applet, app, or other executable code) may be executed for causing the machine 800 to perform any one or more of the methods discussed herein. For example, the instructions 808 may cause the machine 800 to perform any one or more of the methods described herein. The instructions 808 convert a general purpose, unprogrammed machine 800 into a specific machine 800 that is programmed to perform the functions described and illustrated in the manner described. The machine 800 may operate as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine 800 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 800 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 808 specifying actions to be taken by the machine 800. In addition, although only a single machine 800 is shown, the term "machine" should also be considered to include a collection of machines that individually or jointly execute instructions 808 to perform any one or more of the methods discussed herein. For example, the machine 800 may include a client device 102 or any of a plurality of server devices that form part of the messaging server system 108. In some examples, the machine 800 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.

[0064] The machine 800 may include a processor 802, a memory 804, and an input / output I / O component 838, which may be configured to communicate with each other via a bus 840. In an example, the processor 802 (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 806 that executes instructions 808 and a processor 810. 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 8 Multiple processors 802 are shown, but machine 800 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.

[0065] The memory 804 includes a main memory 812, a static memory 814, and a storage unit 816, which are all accessible by the processor 802 via the bus 840. The main memory 804, the static memory 814, and the storage unit 816 store instructions 808 that embody any one or more of the methods or functions described herein. The instructions 808 may also reside, completely or partially, within the main memory 812, within the static memory 814, within the machine-readable medium 818 within the storage unit 816, within at least one of the processors 802 (e.g., within a cache memory of a processor), or within any suitable combination thereof during execution by the machine 800.

[0066] The I / O components 838 may include various components for receiving input, providing output, generating output, sending information, exchanging information, capturing measurements, etc. The specific I / O components 838 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 not include such a touch input device. It should be understood that the I / O components 838 may include Figure 8820 , and the like. In various examples, the I / O components 838 may include a user output component 824 and a user input component 826. The user output component 824 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 acoustic component (e.g., a speaker), a tactile component (e.g., a vibration motor, a resistance mechanism), other signal generators, etc. The user input component 826 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 that provides the location and force of a touch or touch gesture, or other tactile input component), an audio input component (e.g., a microphone), etc.

[0067] In another example, the I / O component 838 may include a biometric component 828, a motion component 830, an environment component 832, or a position component 834, as well as various other components. For example, the biometric component 828 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 830 includes an acceleration sensor component (e.g., an accelerometer), a gravity sensor component, and a rotation sensor component (e.g., a gyroscope).

[0068] The environmental component 832 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.

[0069] 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.

[0070] 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.

[0071] The location component 834 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 derived), an orientation sensor component (e.g., a magnetometer), and the like.

[0072] Various technologies may be used to achieve communication. The I / O component 838 also includes a communication component 836 that is operable to couple the machine 800 to the network 820 or device 822 via a corresponding coupling or connection. For example, the communication component 836 may include a network interface component or other suitable device for interfacing with the network 820. In other examples, the communication component 836 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 822 may be another machine or any of a variety of peripheral devices (eg, a peripheral device coupled via USB).

[0073] In addition, the communication component 636 can detect the identifier or include a component operable to detect the identifier. For example, the communication component 636 may 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 symbol (Datalyph), maximum code (MaxiCode), PDF417, 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 836, such as location via Internet Protocol (IP) geolocation, ... Signal triangulation to obtain location, location obtained via detection of NFC beacon signals that can indicate a specific location, etc.

[0074] Various memories (e.g., main memory 812, static memory 814, and memory of processor 802) and storage unit 816 can 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 808) when executed by processor 802 cause various operations to implement the disclosed examples.

[0075] The instructions 808 may be sent or received over the network 820 via a network interface device (e.g., a network interface component included in the communication component 836), using a transmission medium and using any of several well-known transmission protocols (e.g., the Hypertext Transfer Protocol (HTTP)). Similarly, the instructions 808 may be sent or received via a coupling (e.g., a peer-to-peer coupling) with the device 822, using a transmission medium.

[0076] Glossary

[0077] "Carrier signal" refers to any intangible medium that can store, encode or carry instructions for execution by a machine, and includes a digital or analog communications signal or other intangible medium that facilitates the transmission of such instructions. Instructions may be sent or received over a network using a transmission medium via a network interface device.

[0078] "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, desktop computer, laptop computer, portable digital assistant (PDA), smart phone, tablet computer, ultrabook, netbook, laptop computer, multiprocessor system, microprocessor-based or programmable consumer electronics, game console, set-top box, or any other communications device that a user may use to access a network.

[0079] "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 network or a 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 interconnection 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.

[0080] "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 of specific processing or control functions. A component can be combined with other components via its interface to execute a machine process. 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 among related functions. 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 a portion of an application) as a hardware component that operates to perform certain operations as described herein. Hardware components can also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component may include a dedicated circuit system 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 system 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 for cost and time considerations whether to implement the hardware component mechanically, in a dedicated and permanently configured circuit system, or in a temporarily configured (e.g., configured by software) circuit system to implement the hardware component. 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 be 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. The software accordingly configures one or more specific processors to, for example, constitute a specific hardware component at one time and to 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 or components 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.

[0081] "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.

[0082] “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.”

[0083] “Non-transitory computer-readable storage medium” refers to tangible media capable of storing, encoding, or carrying instructions to be executed by a machine.

[0084] "Signal medium" refers to any intangible medium that is capable of storing, encoding or carrying instructions executed by a machine, and "signal medium" includes digital or analog communication signals or other intangible media that facilitate the transmission 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 has one or more of its characteristics set or changed 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, by a computing device, a copy of the visual marker in an output of a digital image sensor of a camera of the computing device; calculating a plane and boundaries of a physical canvas represented in an output of the digital image sensor based on the detected copies of the visual markers; determining a location of a source image on a display of the computing device based on the calculated plane and boundary; as well as The source image is caused to be displayed on the display at the determined position.

2. The method according to claim 1, wherein: The computing device is augmented reality glasses.

3. The method of claim 1, comprising generating the visual indicia in the form of a Quick Response (QR) code.

4. The method according to claim 3, wherein: The QR code includes instructions for calculating the plane of a surface based on a plurality of points.

5. The method according to claim 1, wherein: The number of copies of the visual mark is four. 6 . The method of claim 1 , further comprising causing display on a display of the computing device a user-selectable element that can be activated to change a brightness of the source image.

7. The method of claim 6, comprising configuring the user-selectable element to be activated in response to a gesture or voice command detected at the computing device.

8. The method of claim 1, comprising uploading the source image to the computing device.

9. The method according to claim 1, further comprising: determining that a period of time has elapsed since causing the source image to be displayed on a display of the user device; as well as In response to the determination, a display of the computing device is turned off.

10. The method of claim 9, comprising turning on the display in response to a predetermined gesture or voice command.

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, by a computing device, a copy of the visual marker in an output of a digital image sensor of a camera of the computing device; calculating a plane and boundaries of a physical canvas represented in an output of the digital image sensor based on the detected copies of the visual markers; determining a location of a source image on a display of the computing device based on the calculated plane and boundary; and The source image is caused to be displayed on the display at the determined position.

12. The system according to claim 11, wherein: The computing device is augmented reality glasses.

13. The system according to claim 11, wherein: The instructions include generating the visual indicia in the form of a quick response (QR) code.

14. The system according to claim 13, wherein: The QR code includes instructions for calculating the plane of a surface based on a plurality of points.

15. The system according to claim 11, wherein: The number of copies of the visual mark is four.

16. The system according to claim 11, wherein: The instructions include causing display on a display of the computing device of a user-selectable element that can be activated to change the brightness of the source image.

17. The system of claim 16, wherein: The instructions include configuring the user-selectable element to be activated in response to a gesture or a voice command detected at the computing device.

18. The system of claim 11, wherein: The instructions include uploading the source image to the computing device.

19. The system of claim 11, wherein: The instructions also include: determining that a period of time has elapsed since causing the source image to be displayed on a display of the computing device; and In response to the determination, a display of the computing device is turned off.

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 operations, the operations comprising: detecting, by a computing device, a copy of the visual marker in an output of a digital image sensor of a camera of the computing device; calculating a plane and boundaries of a physical canvas represented in an output of the digital image sensor based on the detected copies of the visual markers; determining a location of a source image on a display of the computing device based on the calculated plane and boundary; as well as The source image is caused to be displayed on the display at the determined position.

Images