Calibration methods, devices, equipment and storage media for eye-tracking camera equipment

Abstract

This application discloses a calibration method, apparatus, device, and storage medium for an eye-tracking camera device, relating to the field of data processing technology. The method includes: generating calibration voice guidance information when a user is detected correctly wearing the target smart device; displaying calibration key points using an electrochromic strategy when the user closes the eye corresponding to the camera device to be calibrated according to the calibration voice guidance information; calibrating the camera device to be calibrated based on an eye image and the displayed calibration key points using an eye-tracking calibration algorithm when the user is detected focusing on the calibration key points; thereby enabling calibration of an eye-tracking camera device on a non-display device, and improving the user experience, when the user closes the eye corresponding to the camera device to be calibrated, multiple calibration key points are displayed on the lens using an electrochromic strategy; and when the user focuses on the calibration key points, the eye-tracking calibration algorithm is run to calibrate the camera device to be calibrated.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and particularly relates to a calibration method and device of an eye movement tracking camera equipment, an equipment and a storage medium. BACKGROUND

[0002] In recent years, smart photographing glasses have been widely concerned by users due to their small size and light weight. The main functions of the smart photographing glasses include photographing, music listening and calling, and the smart photographing glasses do not have a display function. However, in order to increase the interaction with the user, the smart photographing glasses need to be equipped with an eye movement tracking camera equipment, for example, an eye movement tracking camera. However, the eye movement tracking camera equipment needs to be calibrated to accurately locate the visual direction of the human eye. At present, the common calibration method of the eye movement tracking camera equipment is to calibrate the eye movement tracking camera equipment on a smart device with a display function, for example, a VR glass, by using the user's gaze on a point displayed on the screen. However, the calibration method cannot be used for the smart photographing glasses without a display function, and therefore, the calibration method cannot be used for the eye movement tracking camera equipment on the non-display device.

[0003] The above content is only used to assist in understanding the technical solutions of the present application and does not mean that the above content is prior art. SUMMARY

[0004] The main purpose of the present application is to provide a calibration method, device, equipment and storage medium of an eye movement tracking camera equipment, and to solve the technical problem that the prior art cannot calibrate the eye movement tracking camera equipment on a non-display device.

[0005] To achieve the above purpose, the present application provides a calibration method of an eye movement tracking camera equipment, and the method comprises the following steps.

[0006] When it is detected that a user correctly wears a target smart device, calibration voice guidance information is generated;

[0007] When it is determined that the user closes the eyes corresponding to the to-be-calibrated camera equipment according to the calibration voice guidance information, a calibration key point is displayed on a lens corresponding to the eyes by using an electrochromic strategy;

[0008] When it is detected that the user gazes at the calibration key point, an eyeball picture of the user is acquired;

[0009] The to-be-calibrated camera equipment is calibrated by using an eye movement tracking calibration algorithm according to the eyeball picture and the calibration key point.

[0010] In an embodiment, the step of displaying the calibration key point on the lens corresponding to the eyes by using the electrochromic strategy when it is determined that the user closes the eyes corresponding to the to-be-calibrated camera equipment according to the calibration voice guidance information comprises the following steps.

[0011] playing the calibration voice guide information;

[0012] detecting the state of the eye of the user corresponding to the camera device to be calibrated in real time;

[0013] when the state is a preset state, determining display parameters of the calibration key point;

[0014] displaying the calibration key point on the lens corresponding to the eye according to the display parameters through an electrochromic strategy.

[0015] In an embodiment, the step of determining the display parameters of the calibration key point when the state is a preset state comprises:

[0016] when the state is a preset state, obtaining historical line-of-sight data of the user after the target smart device is correctly worn;

[0017] obtaining attribute parameters of the target smart device;

[0018] determining the display position of the calibration key point according to the attribute parameters and the historical line-of-sight data;

[0019] determining the display order of the calibration key point according to a calibration rule;

[0020] determining the display parameters of the calibration key point according to the display position, the display order, and a display form.

[0021] In an embodiment, the step of calibrating the camera device to be calibrated according to the eye picture and the calibration key point through an eye tracking calibration algorithm comprises:

[0022] obtaining the eye pupil point of the user according to the eye picture;

[0023] determining the coordinates of the calibration key point in the camera coordinate system of the camera device to be calibrated;

[0024] determining the coordinates of the eye pupil point in the camera coordinate system of the camera device to be calibrated;

[0025] calibrating the camera device to be calibrated according to the coordinates of the calibration key point in the camera coordinate system of the camera device to be calibrated and the coordinates of the eye pupil point in the camera coordinate system of the camera device to be calibrated.

[0026] In an embodiment, the step of calibrating the camera device to be calibrated according to the coordinates of the calibration key point in the camera coordinate system of the camera device to be calibrated and the coordinates of the eye pupil point in the camera coordinate system of the camera device to be calibrated comprises:

[0027] The coordinates of the calibration key points in the camera coordinate system of the camera device to be calibrated are bound to the coordinates of the pupil point of the eyeball in the camera coordinate system of the camera device to be calibrated.

[0028] The bound coordinate set is fitted and calculated, and the calibration of the camera device to be calibrated is completed based on the fitting calculation results.

[0029] In one embodiment, after the step of calibrating the camera device to be calibrated based on the eye image and the calibration key points using an eye-tracking calibration algorithm, the method further includes:

[0030] When the temple area where the camera device to be calibrated is located is the left temple area, left-side calibration voice guidance information is generated;

[0031] When it is determined that the user closes the eye corresponding to the right camera device to be calibrated according to the left calibration voice guidance information, the step of displaying calibration key points on the lens corresponding to the eye through electrochromic strategy continues;

[0032] When the temple area where the camera device to be calibrated is located is the right temple area, right-side calibration voice guidance information is generated;

[0033] Once it is determined that the user closes the eye corresponding to the left-side camera device to be calibrated according to the calibration voice guidance information on the right, the step of displaying calibration key points on the lens corresponding to the eye through an electrochromic strategy continues.

[0034] In one embodiment, after the step of calibrating the camera device to be calibrated based on the eye image and the calibration key points using an eye-tracking calibration algorithm, the method further includes:

[0035] The calibration key points are controlled to disappear from the lens corresponding to the eye using an electrochromic strategy.

[0036] Furthermore, to achieve the above objectives, this application also proposes a calibration device for an eye-tracking camera, the calibration device comprising:

[0037] The generation module is used to generate calibration voice guidance information when it is detected that the user is wearing the target smart device correctly;

[0038] The determination module is used to display calibration key points on the lens corresponding to the eye by means of an electrochromic strategy when it is determined that the user closes the eye corresponding to the camera device to be calibrated according to the calibration voice guidance information;

[0039] The acquisition module is used to acquire an image of the user's eyeball when it is detected that the user is gazing at the calibration key point;

[0040] The calibration module is used to calibrate the camera device to be calibrated based on the eye image and the calibration key points using an eye-tracking calibration algorithm.

[0041] In addition, to achieve the above objectives, this application also proposes a calibration device for an eye-tracking camera, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the calibration method for the eye-tracking camera as described above.

[0042] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the calibration method for the eye-tracking camera device as described above.

[0043] One or more technical solutions proposed in this application have at least the following technical effects: When it is detected that a user is correctly wearing the target smart device, calibration voice guidance information is generated; when it is determined that the user closes the eye corresponding to the camera device to be calibrated according to the calibration voice guidance information, calibration key points are displayed on the lens corresponding to the eye using an electrochromic strategy; when it is detected that the user is looking at the calibration key points, an image of the user's eyeball is acquired; an eye-tracking calibration algorithm is used to calibrate the camera device to be calibrated based on the eyeball image and the calibration key points; through the above method, when it is determined that the user closes the eye corresponding to the camera device to be calibrated according to the calibration voice guidance information, multiple calibration key points are displayed on the lens using an electrochromic strategy, and when the user looks at the calibration key points, the eye-tracking calibration algorithm is run to calibrate the camera device to be calibrated, thereby enabling the calibration of eye-tracking camera devices on non-display devices, and thus improving the user experience. Attached Figure Description

[0044] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0045] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a flowchart illustrating an embodiment of the calibration method for the eye-tracking camera device of this application.

[0047] Figure 2This is a schematic diagram of the structure of the target smart device for the calibration method of the eye-tracking camera device provided in Embodiment 1 of this application;

[0048] Figure 3 This is a flowchart illustrating Embodiment 2 of the calibration method for the eye-tracking camera device of this application.

[0049] Figure 4 This is a schematic diagram showing the key calibration points of the calibration method for the eye-tracking camera device provided in Embodiment 2 of this application;

[0050] Figure 5 This is a schematic diagram of the module structure of the calibration device for the eye-tracking camera equipment in an embodiment of this application;

[0051] Figure 6 This is a schematic diagram of the hardware operating environment involved in the calibration method of the eye-tracking camera device in this application embodiment.

[0052] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0053] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device or calibration device capable of performing the above functions. The following description uses a calibration device as an example to illustrate this embodiment and the subsequent embodiments.

[0054] Based on this, embodiments of this application provide a calibration method for an eye-tracking camera device, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the calibration method for the eye-tracking camera device of this application.

[0055] In this embodiment, the calibration method for the eye-tracking camera device includes steps S10 to S40:

[0056] Step S10: When it is detected that the user is wearing the target smart device correctly, calibration voice guidance information is generated.

[0057] It should be noted that the target smart device refers to a smart device with functions such as taking photos, playing music, and making calls, but without a display function. This target smart device could be smart camera glasses, and the camera device to be calibrated could be an eye-tracking camera. Figure 2 , Figure 2The diagram illustrates the structure of the target smart device, which comprises three parts: a left temple, a right temple, and a front frame. These parts are electrically connected via an FPC (Flexible Printed Circuit). The left and right temples contain key components such as the motherboard and battery. The target smart device also includes core components, including but not limited to an eye-tracking module (which can also be referred to as a camera device to be calibrated before calibration), an electrochromic module, and a main control module. The eye-tracking module can be located in a designated area of ​​the temple, such as the inner side of the hinge, and is used to capture images of the user's eyes. The electrochromic module is located on the lens and is used to convert transmittance to display calibration key points on the lens. The main control module is located on the temple and is used for system control and the operation of the eye-tracking calibration algorithm.

[0058] It should be understood that calibration voice guidance information refers to voice information that guides and prompts the user to close their eyes and focus on the calibration key points. For example, when the temple area of ​​the camera device to be calibrated is the left temple area, voice guidance information is generated to prompt the user to close their right eye and focus on the calibration key points on the left lens, which is the right-side calibration voice guidance information.

[0059] Step S20: When it is determined that the user closes the eye corresponding to the camera device to be calibrated according to the calibration voice guidance information, the calibration key points are displayed on the lens corresponding to the eye through an electrochromic strategy.

[0060] It is understandable that electrochromic strategy refers to a color-changing strategy that uses voltage to control the light transmittance of the target smart device. This electrochromic strategy is equivalent to adding a "simple display" function to the target smart device, that is, displaying calibration key points on the lens of the target smart device.

[0061] Step S30: When the user is detected gazing at the calibration key point, an image of the user's eyeball is acquired.

[0062] It should be understood that when the system detects that the user is looking at a calibration key point displayed on the lens, it controls the camera device to be calibrated to take a picture of the user's eyeball. It should be noted that there are multiple calibration key points. Therefore, the camera device to be calibrated will take a picture once each time the user looks at a calibration key point, until the user has looked at all the calibration key points.

[0063] Step S40: The camera device to be calibrated is calibrated using an eye-tracking calibration algorithm based on the eye image and the calibration key points.

[0064] Understandably, the eye-tracking calibration algorithm refers to the algorithm used to calibrate the eye-tracking module. After obtaining an image of the eyeball, it combines key calibration points and calibrates the camera device to be calibrated by running the eye-tracking calibration algorithm. After calibration, the target smart device can accurately locate the direction of the human eye's gaze, increasing the interaction between the target smart device and the user, and achieving the goal of significantly improving the user experience.

[0065] Further, step S40 includes: obtaining the user's pupil point based on the eye image; determining the coordinates of the calibration key point in the camera coordinate system of the camera device to be calibrated; determining the coordinates of the pupil point in the camera coordinate system of the camera device to be calibrated; and calibrating the camera device to be calibrated based on the coordinates of the calibration key point and the pupil point in the camera coordinate system of the camera device to be calibrated.

[0066] It should be understood that the pupil point is a feature point on the user's eyeball. The pupil is located in the center of the eye and can adjust the amount of light entering the eye. Since the relative positions of the lens and the camera device to be calibrated are fixed, the relative positions of several calibration key points displayed on the lens in the camera coordinate system of the camera device to be calibrated are also known. That is, the coordinates of the calibration key points in the camera coordinate system of the camera device to be calibrated can be determined. In addition, by taking a picture of the user's eyeball while the user is looking at the key points, the user's line of sight can be converted to the camera coordinate system. Therefore, the coordinates of the pupil point in the camera coordinate system of the camera device to be calibrated can be determined. Then, the camera device to be calibrated is calibrated according to the coordinates of the calibration point in the camera coordinate system of the camera device to be calibrated and the coordinates of the calibration key points in the camera coordinate system of the camera device to be calibrated.

[0067] Further, the step of calibrating the camera device to be calibrated based on the coordinates of the calibration key points in the camera coordinate system of the camera device to be calibrated and the coordinates of the pupil point in the camera coordinate system of the camera device to be calibrated includes: binding the coordinates of the calibration key points in the camera coordinate system of the camera device to be calibrated and the coordinates of the pupil point in the camera coordinate system of the camera device to be calibrated; performing fitting calculation on the bound coordinate set, and completing the calibration of the camera device to be calibrated based on the fitting calculation result.

[0068] Understandably, after obtaining the coordinates of the calibration key points in the camera coordinate system of the camera device to be calibrated, and the coordinates of the pupil point in the same coordinate system, these two coordinates are bound together. Then, a linear regression algorithm or a multinomial fitting algorithm can be used to fit and calculate the bound coordinate set, thus completing the calibration of the camera device. Furthermore, to further confirm whether the calibration meets the accuracy requirements, calibration verification can be performed.

[0069] Further, after step S40, the method includes: when the temple area where the camera device to be calibrated is located is the left temple area, generating left-side calibration voice guidance information; when it is determined that the user closes the eye corresponding to the right-side camera device to be calibrated according to the left-side calibration voice guidance information, continuing to execute the step of displaying calibration key points on the lens corresponding to the eye using an electrochromic strategy; when the temple area where the camera device to be calibrated is located is the right temple area, generating right-side calibration voice guidance information; when it is determined that the user closes the eye corresponding to the left-side camera device to be calibrated according to the right-side calibration voice guidance information, continuing to execute the step of displaying calibration key points on the lens corresponding to the eye using an electrochromic strategy.

[0070] It should be understood that since the target smart device has multiple temples, such as the left temple and the right temple, and each temple has a camera device to be calibrated on the inside of its pivot point, multiple calibrations are required. The calibration of the target smart device is completed after all the cameras to be calibrated have been calibrated.

[0071] It should be noted that when the temple area where the camera to be calibrated is located is the left temple area, it means that the camera to be calibrated is located inside the left temple hinge first. Then, the camera to be calibrated next is located inside the right temple hinge, i.e., the right camera to be calibrated. At this time, according to the generated left calibration voice guidance information, the user is prompted to close the eye corresponding to the right camera to be calibrated, i.e., to close the left eye. Then, the eye-tracking calibration algorithm is used to calibrate the camera to be calibrated based on the eye image and calibration key points. Additionally, when the temple area where the camera to be calibrated is located is the right temple area, it indicates that the camera to be calibrated first is located inside the right temple pivot. Then, the camera to be calibrated next is located inside the left temple pivot, i.e., the left-side camera to be calibrated. Then, according to the generated right-side calibration voice guidance information, the user is prompted to close the eye corresponding to the left-side camera to be calibrated, i.e., to close the right eye. Then, the process continues to execute the step of calibrating the camera to be calibrated based on the eye image and calibration key points using the eye-tracking calibration algorithm.

[0072] It should be understood that in this embodiment, there may be one or more playback devices for playing calibration voice guidance information. When there is one playback device, both left-side and right-side calibration voice guidance information will be played by that playback device. When there are multiple playback devices, the calibration voice guidance information will be played by the playback devices on the same side. For example, if the camera to be calibrated is located inside the right temple hinge, the right-side playback device will play the left-side calibration voice guidance information, prompting the user to close their left eye. If the camera to be calibrated is located inside the left temple hinge, the left-side playback device will play the right-side calibration voice guidance information, prompting the user to close their right eye.

[0073] Furthermore, after the step of calibrating the camera device to be calibrated based on the eye image and the calibration key points using the eye-tracking calibration algorithm, the method further includes: controlling the calibration key points to disappear from the lens corresponding to the eye using an electrochromic strategy.

[0074] Understandably, after calibration, the calibration key points are controlled to disappear from the lens corresponding to the eye through an electrochromic strategy, at which point the target smart device can be used as ordinary glasses.

[0075] It should be noted that if the electrochromic strategy is a single-color electrochromic strategy, then the electrochromic strategy can only be used for the calibration of the camera device to be calibrated and cannot be used as sunglasses; if the electrochromic strategy is a multi-color electrochromic strategy, then the calibration of the camera device to be calibrated requires the use of one color.

[0076] This embodiment generates calibration voice guidance information when it detects that a user is correctly wearing the target smart device; when it determines that the user closes the eye corresponding to the camera device to be calibrated according to the calibration voice guidance information, it displays calibration key points on the lens corresponding to the eye using an electrochromic strategy; when it detects that the user is looking at the calibration key points, it acquires an image of the user's eyeball; and it calibrates the camera device to be calibrated using an eye-tracking calibration algorithm based on the eyeball image and the calibration key points. Through this method, when it is determined that the user closes the eye corresponding to the camera device to be calibrated according to the calibration voice guidance information, it displays multiple calibration key points on the lens using an electrochromic strategy, and when the user looks at the calibration key points, it calibrates the camera device to be calibrated by running an eye-tracking calibration algorithm. This enables the calibration of eye-tracking cameras on non-display devices, thereby improving the user experience.

[0077] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 3 Step S20 includes steps S201 to S204:

[0078] Step S201: Play the calibration voice guidance information.

[0079] It should be noted that the calibration voice guidance information refers to the voice information that guides and prompts the user to close their eyes and focus on the calibration key points. The user can be prompted to close their eyes and focus on the calibration key points by playing the calibration voice guidance information. For example, if the camera device to be calibrated is on the left, the user can be prompted to close their right eye, and the calibration key points can be displayed on the lens, prompting the user to focus on the calibration key points.

[0080] Step S202: Real-time detection of the state of the user's eyes corresponding to the camera device to be calibrated.

[0081] Understandably, the state of the eyes includes, but is not limited to, closed eyes and open eyes. During the playback of calibration voice guidance information, the state of the eye corresponding to the camera device to be calibrated will be detected in real time. For example, if the camera device to be calibrated is on the left, the state of the user's right eye will be detected in real time.

[0082] Step S203: When the state is a preset state, determine the display parameters of the calibration key points.

[0083] It should be understood that the preset state can be the open-eye state. After detecting the state of the glasses in real time, it is necessary to determine whether the state is the preset state. If so, it means that the user has closed the eyes corresponding to the camera device to be calibrated. At this time, the display parameters of the calibration key points are determined. These display parameters include, but are not limited to, display position, display order, and display format.

[0084] Further, step S203 includes: when the state is a preset state, acquiring historical gaze data after the user correctly wears the target smart device; acquiring attribute parameters of the target smart device; determining the display position of the calibration key point according to the attribute parameters and the historical gaze data; determining the display order of the calibration key point according to the calibration rules; and determining the display parameters of the calibration key point according to the display position, display order, and display format.

[0085] It is understandable that attribute parameters refer to the basic attribute parameters of the target smart device. These attribute parameters include, but are not limited to, the size of the lens, the curvature of the frame, and the center point of the lens. Then, the display position of the calibration key points is determined by combining historical gaze data. The display order refers to the order in which multiple calibration key points are displayed through an electrochromic strategy.

[0086] It should be noted that the reference Figure 4 , Figure 4To illustrate the calibration key points, consider five calibration key points as an example: the top left calibration key point, the top right calibration key point, the center calibration key point, the bottom right calibration key point, and the bottom left calibration key point. According to the calibration rules, the display order is: center calibration key point, top left calibration key point, top right calibration key point, bottom right calibration key point, and bottom left calibration key point. The display format can be solid dots that provide a pleasant user experience, with the display positions being the center of the lens, the top left, the top right, the bottom left, and the bottom right, respectively.

[0087] Step S204: Display calibration key points on the lens corresponding to the eye according to the display parameters using an electrochromic strategy.

[0088] It is understandable that the electrochromic strategy is equivalent to adding a "simple display" function to the target smart device. At this time, the calibration key points are displayed on the lens corresponding to the eye according to the display parameters, and the user can see the calibration key points.

[0089] This embodiment plays the calibration voice guidance information; detects the state of the user's eyes corresponding to the camera device to be calibrated in real time; when the state is a preset state, determines the display parameters of the calibration key points; and displays the calibration key points on the lens corresponding to the eyes according to the display parameters using an electrochromic strategy. Through the above method, the user is prompted to close their eyes and focus on the calibration key points by playing the calibration voice guidance information. During the playback, the state of the user's eyes is detected in real time, and it is then determined whether the state is a preset state. If so, the calibration key points are displayed on the lens using the "simple display" function added by the electrochromic strategy. This enables the display of calibration key points on a non-display device, thereby achieving the calibration of the eye-tracking camera device on the non-display device.

[0090] This application also provides a calibration device for an eye-tracking camera device; please refer to... Figure 5 The calibration device for the eye-tracking camera includes:

[0091] The generation module 10 is used to generate calibration voice guidance information when it is detected that the user is wearing the target smart device correctly.

[0092] The determination module 20 is used to display calibration key points on the lens corresponding to the eye by means of an electrochromic strategy when it is determined that the user closes the eye corresponding to the camera device to be calibrated according to the calibration voice guidance information.

[0093] The acquisition module 30 is used to acquire an image of the user's eyeball when it is detected that the user is gazing at the calibration key point.

[0094] The calibration module 40 is used to calibrate the camera device to be calibrated based on the eye image and the calibration key points using an eye-tracking calibration algorithm.

[0095] This embodiment generates calibration voice guidance information when it detects that a user is correctly wearing the target smart device; when it determines that the user closes the eye corresponding to the camera device to be calibrated according to the calibration voice guidance information, it displays calibration key points on the lens corresponding to the eye using an electrochromic strategy; when it detects that the user is looking at the calibration key points, it acquires an image of the user's eyeball; and it calibrates the camera device to be calibrated using an eye-tracking calibration algorithm based on the eyeball image and the calibration key points. Through this method, when it is determined that the user closes the eye corresponding to the camera device to be calibrated according to the calibration voice guidance information, it displays multiple calibration key points on the lens using an electrochromic strategy, and when the user looks at the calibration key points, it calibrates the camera device to be calibrated by running an eye-tracking calibration algorithm. This enables the calibration of eye-tracking cameras on non-display devices, thereby improving the user experience.

[0096] The calibration device for eye-tracking camera equipment provided in this application employs the calibration method for eye-tracking camera equipment described in the above embodiments, which can solve the technical problem that the prior art cannot calibrate eye-tracking camera equipment on non-display devices. Compared with the prior art, the beneficial effects of the calibration device for eye-tracking camera equipment provided in this application are the same as those of the calibration method for eye-tracking camera equipment provided in the above embodiments, and other technical features in the calibration device for eye-tracking camera equipment are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0097] In one embodiment, the determining module 20 is further configured to play the calibration voice guidance information; detect in real time the state of the user's eye corresponding to the camera device to be calibrated; when the state is a preset state, determine the display parameters of the calibration key points; and display the calibration key points on the lens corresponding to the eye according to the display parameters using an electrochromic strategy.

[0098] In one embodiment, the determining module 20 is further configured to, when the state is a preset state, acquire historical gaze data after the user correctly wears the target smart device; acquire attribute parameters of the target smart device; determine the display position of the calibration key point according to the attribute parameters and the historical gaze data; determine the display order of the calibration key point according to calibration rules; and determine the display parameters of the calibration key point according to the display position, display order, and display format.

[0099] In one embodiment, the calibration module 40 is further configured to: acquire the user's pupil point based on the eye image; determine the coordinates of the calibration key point in the camera coordinate system of the camera device to be calibrated; determine the coordinates of the pupil point in the camera coordinate system of the camera device to be calibrated; and calibrate the camera device to be calibrated based on the coordinates of the calibration key point and the pupil point in the camera coordinate system of the camera device to be calibrated.

[0100] In one embodiment, the calibration module 40 is further configured to bind the coordinates of the calibration key point in the camera coordinate system of the camera device to be calibrated to the coordinates of the pupil point of the eyeball in the camera coordinate system of the camera device to be calibrated; perform fitting calculation on the bound coordinate set, and complete the calibration of the camera device to be calibrated based on the fitting calculation result.

[0101] In one embodiment, the calibration module 40 is further configured to: generate left-side calibration voice guidance information when the temple area where the camera device to be calibrated is located is the left temple area; continue to execute the step of displaying calibration key points on the lens corresponding to the eye using an electrochromic strategy when the user closes the eye corresponding to the right temple of the camera device to be calibrated according to the left-side calibration voice guidance information; generate right-side calibration voice guidance information when the temple area where the camera device to be calibrated is located is the right temple area; and continue to execute the step of displaying calibration key points on the lens corresponding to the eye using an electrochromic strategy when the user closes the eye corresponding to the left temple of the camera device to be calibrated according to the right-side calibration voice guidance information.

[0102] In one embodiment, the calibration module 40 is further configured to control the disappearance of calibration key points from the lens corresponding to the eye using an electrochromic strategy.

[0103] This application provides a calibration device for an eye-tracking camera, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the calibration method for the eye-tracking camera described in Embodiment 1 above.

[0104] The following is for reference. Figure 6This document illustrates a schematic diagram of a calibration device suitable for implementing the eye-tracking camera device in the embodiments of this application. The calibration device for the eye-tracking camera device in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 6 The calibration device for the eye-tracking camera shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0105] like Figure 6 As shown, the calibration device for the eye-tracking camera may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 1002 or a program loaded from storage device 1003 into random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the calibration device for the eye-tracking camera. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the calibration equipment of the eye-tracking camera to wirelessly or wiredly communicate with other devices to exchange data. Although the figure shows a calibration equipment for an eye-tracking camera with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.

[0106] Specifically, according to the embodiments disclosed in this application, the process described above with reference to the flowcharts can be implemented as a computer software program. This computer program includes program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0107] The calibration device for eye-tracking cameras provided in this application employs the calibration method for eye-tracking cameras described in the above embodiments, thus solving the technical problem that existing technologies cannot calibrate eye-tracking cameras on non-display devices. Compared with the prior art, the beneficial effects of the calibration device for eye-tracking cameras provided in this application are the same as those of the calibration method for eye-tracking cameras provided in the above embodiments, and other technical features of this calibration device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0108] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0109] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0110] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to perform the calibration method of the eye-tracking camera device in the above embodiments.

[0111] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0112] The aforementioned computer-readable storage medium may be included in the calibration device of the eye-tracking camera; or it may exist independently and not assembled into the calibration device of the eye-tracking camera.

[0113] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0114] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0115] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0116] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the calibration method of the eye-tracking camera device described above. This solves the technical problem that existing technologies cannot calibrate eye-tracking camera devices on non-display devices. Compared with existing technologies, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the calibration method of the eye-tracking camera device provided in the above embodiments, and will not be repeated here.

[0117] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method of calibrating an eye-tracking camera device, characterized by, The method comprises: When it is detected that a user correctly wears a target smart device, generate calibration voice guide information, wherein the target smart device refers to smart shooting glasses without display function; When it is determined that the user closes the eye corresponding to the to-be-calibrated camera device according to the calibration voice guide information, display a calibration key point on the lens corresponding to the eye through an electrochromic strategy; When it is detected that the user gazes at the calibration key point, obtain an eyeball picture of the user; Calibrate the to-be-calibrated camera device according to the eyeball picture and the calibration key point through an eye movement tracking calibration algorithm; The step of displaying the calibration key point on the lens corresponding to the eye through the electrochromic strategy when it is determined that the user closes the eye corresponding to the to-be-calibrated camera device according to the calibration voice guide information comprises: playing the calibration voice guide information; real-time detecting the state of the eye corresponding to the to-be-calibrated camera device of the user; when the state is a preset state, determining display parameters of the calibration key point; displaying the calibration key point on the lens corresponding to the eye according to the display parameters through the electrochromic strategy; The step of determining the display parameters of the calibration key point when the state is the preset state comprises: when the state is the preset state, obtaining historical visual line data of the user after the user correctly wears the target smart device; obtaining attribute parameters of the target smart device, the attribute parameters comprising the size of the lens of the target smart device, the lens frame curvature and the lens center point; determining the display position of the calibration key point according to the attribute parameters and the historical visual line data; determining the display order of the calibration key point according to the calibration rule; determining the display parameters of the calibration key point according to the display position, the display order and the display form.

2. The method of claim 1, wherein, The step of calibrating the to-be-calibrated camera device according to the eyeball picture and the calibration key point through the eye movement tracking calibration algorithm comprises: obtaining the eyeball pupil point of the user according to the eyeball picture; determining the coordinates of the calibration key point in the camera coordinate system of the to-be-calibrated camera device; determining the coordinates of the eyeball pupil point in the camera coordinate system of the to-be-calibrated camera device; calibrating the to-be-calibrated camera device according to the coordinates of the calibration key point in the camera coordinate system of the to-be-calibrated camera device and the coordinates of the eyeball pupil point in the camera coordinate system of the to-be-calibrated camera device.

3. The method of claim 2, wherein, The step of calibrating the to-be-calibrated camera device according to the coordinates of the calibration key point in the camera coordinate system of the to-be-calibrated camera device and the coordinates of the eyeball pupil point in the camera coordinate system of the to-be-calibrated camera device comprises: binding the coordinates of the calibration key point in the camera coordinate system of the to-be-calibrated camera device and the coordinates of the eyeball pupil point in the camera coordinate system of the to-be-calibrated camera device; performing fitting calculation on the bound coordinate set, and completing calibration of the to-be-calibrated camera device according to the fitting calculation result.

4. The method of claim 1, wherein, The step of calibrating the to-be-calibrated camera device according to the eyeball picture and the calibration key point through the eye movement tracking calibration algorithm is followed by: When the mirror leg area where the camera device to be calibrated is located is a left mirror leg area, left-side calibration voice guide information is generated; When it is determined that the user closes the eye corresponding to the right-side camera device to be calibrated according to the left-side calibration voice guide information, the step of displaying the calibration key point on the lens corresponding to the eye through the electrochromic strategy is continuously executed; When the mirror leg area where the camera device to be calibrated is located is a right mirror leg area, right-side calibration voice guide information is generated; When it is determined that the user closes the eye corresponding to the left-side camera device to be calibrated according to the right-side calibration voice guide information, the step of displaying the calibration key point on the lens corresponding to the eye through the electrochromic strategy is continuously executed.

5. The method of any one of claims 1 to 4, wherein, After the step of calibrating the camera device to be calibrated according to the eyeball picture and the calibration key point through the eye movement tracking calibration algorithm, the method further includes: The calibration key point disappears from the lens corresponding to the eye through the electrochromic strategy.

6. A calibration device for an eye-tracking camera device, characterized in that The device includes: A generation module configured to generate calibration voice guide information when it is detected that a user correctly wears a target smart device, wherein the target smart device refers to a smart photographing glasses without display function; A determination module configured to display a calibration key point on a lens corresponding to an eye through an electrochromic strategy when it is determined that the user closes the eye corresponding to a camera device to be calibrated according to the calibration voice guide information; An acquisition module configured to acquire an eyeball picture of the user when it is detected that the user gazes at the calibration key point; A calibration module configured to calibrate the camera device to be calibrated according to the eyeball picture and the calibration key point through an eye movement tracking calibration algorithm; The determination module is further configured to play the calibration voice guide information, detect a state of the eye corresponding to the camera device to be calibrated in real time, and determine a display parameter of the calibration key point when the state is a preset state; The calibration key point is displayed on the lens corresponding to the eye according to the display parameter through the electrochromic strategy; The step of determining the display parameter of the calibration key point when the state is the preset state includes: When the state is the preset state, historical visual line data after the user correctly wears the target smart device is acquired; An attribute parameter of the target smart device is acquired, and the attribute parameter includes a size of a lens of the target smart device, a frame curvature, and a lens center point; A display position of the calibration key point is determined according to the attribute parameter and the historical visual line data; A display order of the calibration key point is determined according to a calibration rule; A display parameter of the calibration key point is determined according to the display position, the display order, and a display form.

7. A calibration device for an eye-tracking camera device, characterized in that The device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the calibration method of the eye movement tracking camera device according to any one of claims 1 to 5.

8. A storage medium, characterized by The storage medium is a computer readable storage medium, and the storage medium stores a computer program. The computer program is executed by a processor to implement the steps of the calibration method of the eye tracking camera device according to any one of claims 1 to 5.

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