CN113938597B - Face recognition method, device, computer equipment and storage medium - Google Patents
Face recognition method, device, computer equipment and storage medium Download PDFInfo
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- CN113938597B CN113938597B CN202010611177.0A CN202010611177A CN113938597B CN 113938597 B CN113938597 B CN 113938597B CN 202010611177 A CN202010611177 A CN 202010611177A CN 113938597 B CN113938597 B CN 113938597B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/63—Control of cameras or camera modules by using electronic viewfinders
- H04N23/631—Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters
- H04N23/632—Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters for displaying or modifying preview images prior to image capturing, e.g. variety of image resolutions or capturing parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/667—Camera operation mode switching, e.g. between still and video, sport and normal or high- and low-resolution modes
Abstract
The embodiment of the application discloses a face recognition method, a device, computer equipment and a storage medium, wherein an image shooting page can be displayed, the image shooting page comprises a face shooting guide area, a face image of a target object is displayed in the face shooting guide area, and the face image is a local image of the terminal in the face shooting guide area in a preview image shot based on current shooting parameters; image quality parameters of the face image can be acquired; therefore, the face image in the preview image can be determined without face recognition, resources and time required by the terminal for determining the image quality parameters of the face image can be reduced, and then the current shooting parameters of the terminal can be adjusted based on the image quality parameters; shooting the target object based on the adjusted shooting parameters to obtain an image to be identified; and carrying out face recognition on the target object based on the image to be recognized, wherein the adjusted shooting parameters can ensure the image quality of the face area in the image to be recognized and ensure the face recognition effect.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a face recognition method, a device, a computer apparatus, and a storage medium.
Background
At present, a plurality of more complex scenes exist in the face recognition scene, the shooting background and the ambient light of the scene are generally complex, the imaging quality is low, for example, the imaging quality is low in a semi-outdoor environment or an outdoor environment, when the face recognition camera images, the face can cause too dark or too bright pictures shot by the camera due to backlight or light interference, the success rate and the accuracy of the face recognition can be reduced, and the use of the face recognition is influenced, for example, the face brushing payment experience is influenced.
In order to solve the problem, in the related art, face recognition is generally performed on a photographed image to obtain a coordinate range of a face region in the image, then photographing parameters of a camera are adjusted for the face region based on the coordinate range of the face region, and then image photographing and face recognition are performed.
Disclosure of Invention
The embodiment of the application provides a face recognition method, a face recognition device, computer equipment and a storage medium, which can reduce the consumption of terminal resources by face recognition and reduce the time consumption of face recognition.
The embodiment of the application provides a face recognition method, which comprises the following steps:
displaying an image shooting page, wherein the image shooting page comprises a face shooting guide area, the face shooting guide area displays a face image of a target object, and the face image is a local image of the face shooting guide area in a preview image shot by a terminal based on current shooting parameters;
acquiring image quality parameters of the face image;
adjusting the current shooting parameters of the terminal based on the image quality parameters;
shooting the target object based on the adjusted shooting parameters to obtain an image to be identified;
acquiring a target face image of the target object from the image to be identified;
and carrying out face recognition on the target object based on the target face image.
According to an aspect of the present application, there is also provided a face recognition apparatus including:
a shooting page display unit, configured to display an image shooting page, where the image shooting page includes a face shooting guide area, the face shooting guide area displays a face image of a target object, and the face image is a local image located in the face shooting guide area in a preview image shot by a terminal based on current shooting parameters;
A quality parameter obtaining unit for obtaining an image quality parameter of the face image;
a shooting parameter adjustment unit, configured to adjust the current shooting parameter of the terminal based on the image quality parameter;
the shooting unit is used for shooting the target object based on the adjusted shooting parameters to obtain an image to be identified;
a target face image acquisition unit configured to acquire a target face image of the target object from the image to be recognized;
and the face recognition unit is used for carrying out face recognition on the target object based on the target face image.
Optionally, the shooting component of the terminal includes: first position information of the face shooting guide area in an image shot by the terminal;
a quality parameter acquisition unit comprising:
a first facial image determining subunit, configured to determine, by using the capturing component, a facial image corresponding to the first position information in a preview image captured by the terminal;
and the first quality parameter determining subunit is used for determining the image quality parameters of the face image through the shooting component.
Optionally, the quality parameter obtaining unit includes:
A position information determining subunit configured to determine second position information in the preview image captured by the terminal, the face capturing guide area;
a position information transmitting subunit, configured to transmit the second position information to a shooting component of the terminal;
a second facial image determining subunit, configured to determine, by using the capturing component, a facial image corresponding to the second position information in a preview image captured by the terminal;
and the second quality parameter determining subunit is used for determining the image quality parameters of the face image through the shooting component.
Optionally, the quality parameter obtaining unit includes:
a third face image determining subunit, configured to obtain, from a preview image captured by the terminal, a face image displayed in the face capturing guide area;
a third quality parameter determination subunit configured to determine an image quality parameter of the face image based on image content of the face image;
a request subunit, configured to generate a shooting parameter adjustment request that includes the image quality parameter, and send the shooting parameter adjustment request to a shooting component of the terminal;
correspondingly, a shooting parameter adjusting unit is configured to adjust, by using the shooting component, the current shooting parameter of the terminal based on the image quality parameter in the shooting parameter adjustment request.
Optionally, the quality parameter obtaining unit includes:
a sub-image determining unit configured to determine sub-images of at least two different image areas in the face image;
a sub-image quality parameter obtaining sub-unit, configured to obtain sub-image quality parameters of each sub-image;
and the image quality parameter acquisition subunit is used for carrying out weighted summation on the sub-image quality parameters to obtain the image quality parameters of the face image.
Optionally, the shooting parameter adjusting unit includes:
a parameter comparison subunit, configured to compare the image quality parameter with a parameter range of a reference image quality parameter;
a target determining subunit, configured to determine a parameter change target of the image quality parameter if the image quality parameter is outside the parameter range;
and the parameter adjustment subunit is used for adjusting the current shooting parameters of the terminal based on the parameter change target.
Optionally, the target determining subunit is configured to determine, if the image quality parameter is outside the parameter range, a minimum variation of the image quality parameter that makes the image quality parameter lie within the parameter range;
and the parameter adjustment subunit is used for adjusting the current shooting parameter of the terminal based on the minimum variation of the image quality parameter.
Optionally, the image quality parameter includes image brightness, and the parameter range includes minimum image brightness and maximum image brightness;
a target determination subunit configured to determine a luminance minimum variation amount that causes the image luminance to be between the minimum image luminance and the maximum image luminance if the image luminance of the face image is lower than the minimum image luminance or exceeds the maximum image luminance;
and the parameter adjustment subunit is used for adjusting the exposure parameter in the current shooting parameters of the terminal based on the minimum brightness variation.
Optionally, the target face image acquisition unit includes:
a region determination subunit configured to determine a target face image region in the image to be recognized based on the face photographing guide region;
an image acquisition subunit, configured to acquire, from the image to be identified, an image in the target face image area as a target face image of the target object.
Optionally, the shooting page display unit includes a payment page display subunit and a shooting page display subunit:
the payment page display subunit is used for displaying a payment page, and the payment page comprises a face payment control;
The shooting page display subunit is used for displaying the image shooting page when the triggering operation of the face payment control is detected;
the face recognition unit is used for carrying out face payment verification on the target object based on the target face image.
According to an aspect of the present application there is also provided a storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the method as described above.
According to one aspect of the present application there is also provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method as described above when executing the computer program.
By adopting the embodiment of the application, the image shooting page can be displayed, wherein the image shooting page comprises a face shooting guide area, the face shooting guide area displays a face image of a target object, and the face image is a local image positioned in the face shooting guide area in a preview image shot by the terminal based on the current shooting parameters; image quality parameters of the face image can be acquired; therefore, in the embodiment, the face image in the preview image can be determined without face recognition, so that the requirement on terminal resources can be effectively reduced, the time required by the terminal for determining the image quality parameters of the face image is reduced, and then the current shooting parameters of the terminal can be adjusted based on the image quality parameters; shooting the target object based on the adjusted shooting parameters to obtain an image to be identified; acquiring a target face image of a target object from an image to be identified; based on the target face image, the face of the target object is identified, and the adjusted shooting parameters can ensure the image quality of the face area in the image to be identified, so that the face identification effect is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1a is a schematic diagram of a face recognition system according to an embodiment of the present invention;
FIG. 1b is a flowchart of a face recognition method provided by an embodiment of the present invention;
fig. 2a is a schematic display diagram of an image capturing page according to an embodiment of the present invention;
FIG. 2b is a schematic diagram of a preview image provided by an embodiment of the present invention;
fig. 2c is a schematic display diagram of an image capturing page according to an embodiment of the present invention;
FIG. 2d is a schematic diagram showing verification failure information provided by an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a face recognition device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
The embodiment of the invention provides a face recognition method, a face recognition device, computer equipment and a storage medium. In particular, the embodiment of the invention provides a face recognition device (which can be called a first face recognition device for distinguishing) applicable to a first computer device, and a face recognition device (which can be called a second face recognition device for distinguishing) applicable to a second computer device. The first computer device may be a device such as a terminal, and the terminal may be a mobile phone, a tablet computer, a notebook computer, a desktop computer, a wearable device, an intelligent television, a payment device, and the like, and the terminal has a camera and can perform image shooting.
The second computer device may be a device such as a server, and the server may be an independent physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, and basic cloud computing services such as big data and an artificial intelligence platform, but is not limited thereto.
The embodiment of the invention introduces a face recognition method by taking a first computer device as a terminal and a second computer device as a server as an example.
Referring to fig. 1a, the present embodiment takes a face payment scenario as an example, and provides a face recognition system including a terminal 10, a server 20, and the like.
The terminal 10 may be configured to display an image capturing page, where the image capturing page includes a face capturing guide area, and the face capturing guide area displays a face image of a target object, where the face image is a partial image located in the face capturing guide area in a preview image captured by the terminal based on current capturing parameters; acquiring image quality parameters of the face image; adjusting the current shooting parameters of the terminal based on the image quality parameters; shooting the target object based on the adjusted shooting parameters to obtain an image to be identified; acquiring a target face image of the target object from the image to be identified; and carrying out face recognition on the target object based on the target face image.
Wherein specific face recognition may be implemented by the server 20. The terminal 10 may send the target face image to the server 20, triggering the server 20 to perform face recognition on the target face image.
In the face payment scenario, the server 20 may perform face payment verification based on the target face image, specifically, may match the target face image with the face image in a database (such as a cloud database), and if the matching is successful, determine that the face payment verification of the target object is successful.
The following will describe in detail. The following description of the embodiments is not intended to limit the preferred embodiments.
The embodiments of the present invention will be described in terms of a face recognition device that may be integrated in a terminal in particular, for example, in the form of an application, for example, in the form of a client, or in the form of a face verification component in the client.
The face recognition method provided by the embodiment of the invention can be executed by a processor of a terminal, as shown in fig. 1b, and the flow of the face recognition method can be as follows:
101. displaying an image shooting page, wherein the image shooting page comprises a face shooting guide area, the face shooting guide area displays a face image of a target object, and the face image is a local image of the face shooting guide area in a preview image shot by a terminal based on current shooting parameters;
The terminal of the embodiment may perform image capturing through an image capturing module, and the image capturing module may include a camera. The image capturing module of the present embodiment may be integrated in the terminal or may be independent of the terminal, which is not limited in this embodiment.
In this embodiment, when the image capturing page is displayed, the image capturing module of the terminal is in a working state, and can continuously capture images and send the images to the display module of the terminal, so that a local image of the preview image can be displayed in the face capturing guide area of the image capturing page.
In this embodiment, the face image of the target object is displayed in the face image capturing guide area, and it can be understood that the face image capturing guide area guides the user to move so that the face is displayed in the face image capturing guide area, so that the partial image of the preview image displayed in the face image capturing guide area can be assumed (or defaulted) as the face image of the target object.
In this embodiment, only part of the image content of the preview image may be displayed in the face shooting guide area in the image shooting page, and other image contents of the preview image are in a blocking state, which is beneficial to guiding the user to move the mobile terminal or moving the user himself so that the face is displayed in the face shooting guide area.
For example, referring to fig. 2b, reference numeral 222 in fig. 2b indicates a preview image captured by a terminal, where the resolution is 640×480 in one example, in this embodiment, in an image capturing page, only a partial image located in the face capturing guide area 211 is displayed in the preview image 222, and other images are in a blocking state.
In the present embodiment, the shape of the face photographing guide area is not limited, and may be circular, rectangular, or a shape conforming to a change in contour of the head to the shoulders of a person, or the like. In one example, a prompt may also be displayed near the face capture guidance area (e.g., above or below the face capture guidance area) to prompt the user to move to display his face on the face capture guidance area.
For example, in the image capturing page 21 shown in fig. 2a, the circular area indicated by 211 is the above-mentioned face capturing guide area, the boundary of which is outlined by a circular line, and the image capturing page further includes a prompt message "please stand to the middle".
In another example, on the image capturing page, other content in the preview image captured by the camera may be displayed in a page outside the face capturing guide area.
In this embodiment, the image capturing page may be displayed in various manners.
In one example, the step of "displaying an image capturing page" may include:
and when a face recognition instruction is received, displaying an image shooting page.
The face recognition instruction may be sent by a control device connected to the terminal, for example, in one example, the terminal is a face payment device, the face recognition instruction is a face payment instruction, and when the face payment device receives the face payment instruction sent by the control device, an image capturing page is displayed.
In one example, the face recognition method in this embodiment may be used in an access control system to recognize whether a target user is a legitimate user.
Optionally, the step of displaying the image capturing page may include:
and when a face recognition instruction triggered by the face recognition control is received, displaying an image shooting page.
Correspondingly, the step of "performing face recognition on the target object based on the target face image" may include:
comparing the target face image with a prestored face image of a legal user in an access control system;
and if the comparison is passed, determining that the target object is a legal user.
After the comparison is passed, the gate can be opened, and if the comparison is not passed, the gate is controlled not to be opened.
In one example, the face recognition method in the present embodiment may be used for a face payment scene, and the user may display an image capturing page through an operation for the terminal. Optionally, the step of displaying the image capturing page may include:
displaying a payment page, wherein the payment page comprises a face payment control;
when the triggering operation of the face payment control is detected, the image shooting page is displayed, and it can be understood that the image shooting device of the terminal, for example, a camera of the terminal is started while the image shooting page is displayed.
Correspondingly, the step of "performing face recognition on the target object based on the target face image" includes:
and carrying out face payment verification on the target object based on the target face image.
For example, referring to fig. 2c, when a payment operation is detected, a payment page indicated by 23 is displayed, in which payment information such as a payment amount, a collection account (not shown in the figure), etc. may be displayed, and a plurality of payment mode selection controls such as a scan code payment control and a "face payment" control may be further included in the payment page, and when a trigger operation for the face payment control such as a click, a long press, a double click, etc. is detected, an image capturing page indicated by 21 is displayed.
It will be appreciated that in a face payment scenario, the face payment verification may be performed by the server, and the step of "performing face payment verification on the target object based on the target face image" may include: and the terminal sends the target face image to a server, and the trigger server performs face payment verification on the target object based on the target face image.
Alternatively, when the terminal transmits the target image to the server, payment information may be transmitted to the server, and the payment information may include information required for making a payment, such as a payment amount, a collection account, and the like. After the payment verification is passed, the server can determine the account of the target object through the target face image, and then based on the account and the payment information, the server completes the transfer to the collection account and completes the payment.
After the face payment verification is completed, the server can send the verification result to the terminal, and the terminal can display verification result prompt information, wherein verification failure prompt information can be displayed only when verification fails, and the verification result information can prompt a user to carry out new image shooting. And when the verification is successful, the payment result information can be displayed.
For example, referring to fig. 2d, when the face verification fails, verification failure prompt information "face verification fails, please re-verify" is displayed in the image capturing page 24.
102. And acquiring the image quality parameters of the face image.
In this embodiment, the face image in step 102 is a partial image of the terminal in the face photographing guide area in the preview image photographed based on the current photographing parameters.
The image quality parameter in the present embodiment is not limited, and parameters reflecting the image quality, such as an image sharpness parameter, an image brightness parameter, an image color shift parameter, and the like, may be arbitrarily used.
In this embodiment, a face recognition scene identifier may be set for a face recognition scene, and when the identifier value is 1, it indicates that shooting parameters need to be shot by the method of this embodiment, and when the identifier value is 0, it indicates that shooting parameters do not need to be adjusted by the method of this embodiment.
Optionally, when the step of displaying the image capturing page, the identification value of the face identification scene identification may be set to 1.
The step of acquiring the image quality parameter of the face image may include: and when the marking value of the face recognition scene mark is detected to be 1, acquiring the image quality parameter of the face image.
In this embodiment, the image capturing module includes a capturing component corresponding to the camera, and the capturing component can adjust capturing parameters of the camera.
In one example, the position information of the face photographing guiding area may be preset in the photographing component of the terminal, and when the photographing parameter needs to be adjusted, the photographing component may directly calculate the image quality parameter required in step 102 using the position information of the face photographing guiding area.
Optionally, the shooting component of the terminal includes: first position information of the face shooting guide area in an image shot by the terminal; the step of acquiring the image quality parameter of the face image includes:
determining a face image corresponding to the first position information in a preview image shot by the terminal through the shooting component;
and determining an image quality parameter of the face image through the shooting component.
In order to reduce the complexity of setting the first position information in the shooting component, the first position information of the face shooting guide area in the image shot by the terminal can be represented by four vertex coordinates of a rectangular area where the face shooting guide area is located. That is, the area indicated by the first position information is a rectangular area including the face photographing guide area, and in one example, the rectangular area may be a minimum circumscribed rectangle of the face photographing guide area.
For example, referring to fig. 2b, the face photographing guide area is 211, the first position information is a rectangular area 222 where the face photographing guide area is located, and the position information in the image photographed by the terminal.
In this example, in step 103, the adjustment of the current shooting parameters may also be performed by the shooting component.
In another example, the first position information of the face photographing guide region may not be included in the photographing component, but the position information of the face photographing guide region may be informed by other components during photographing.
Optionally, the step of "taking the image quality parameter of the face image" may include:
determining the face shooting guide area and second position information in a preview image shot by the terminal;
transmitting the second position information to a shooting component of the terminal;
determining a face image corresponding to the second position information in a preview image shot by the terminal through the shooting component;
and determining an image quality parameter of the face image through the shooting component.
In this example, the representation of the second position information is similar to the first position information, and if the face photographing guide area is a rectangular area, the position information of the four vertex coordinates of the face photographing guide area in the preview image photographed by the terminal may be directly calculated as the second position information. If the face photographing guide area is a non-rectangular area, a rectangular area including the face photographing guide area may be determined first, and then position information of the rectangular area in a preview image photographed by the terminal may be determined as second position information of the face photographing guide area. The position of the rectangular area indicates that the difficulty in acquiring the second position information can be reduced, and the difficulty in determining the face image of the second position information by the shooting component is also reduced.
In this example, in step 103, the adjustment of the current shooting parameters may also be performed by the shooting component.
In another example, the shooting component may not include the first position information of the face shooting guide area, and even the image quality parameters of the face image may be calculated by other components and then sent to the shooting component, and the shooting component adjusts the shooting parameters.
Optionally, the step of acquiring the image quality parameter of the face image may include:
acquiring a face image displayed in the face shooting guide area from a preview image shot by the terminal;
determining an image quality parameter of the face image based on image content of the face image;
and generating a shooting parameter adjustment request containing the image quality parameters and sending the shooting parameter adjustment request to a shooting component of the terminal.
In this example, the step of "the adjusting the current photographing parameter of the terminal based on the image quality parameter" includes:
and adjusting the current shooting parameters of the terminal based on the image quality parameters in the shooting parameter adjustment request through the shooting component.
Wherein, the face image displayed in the face shooting guide area is acquired from the preview image shot by the terminal, the preview image transmitted to the display module of the terminal is acquired, then the position of the face shooting guide area in the preview image is determined, and then the image in the position is taken as the face image of the target object.
In the image quality parameter acquisition schemes in the foregoing examples, when the image quality parameter is acquired from the face image, the image quality parameter may be acquired from a plurality of areas of the face image, and then weighted summation may be performed, with the weighted summation result being the image quality parameter of the face image.
Optionally, the step of acquiring the image quality parameter of the face image may include:
determining sub-images of at least two different image areas in the face image;
acquiring sub-image quality parameters of each sub-image;
and carrying out weighted summation on the sub-image quality parameters to obtain the image quality parameters of the face image.
The number, size, and position of the image areas in the face image are not limited, and may be, for example, 4, 5, or the like, and the size of the image areas may be set to 1/n, such as 1/10, of the face image (or the face photographing guide area). Alternatively, one of the image areas may be a center area of the face image, and the other image areas may be selected around the center area.
In one example, the weight value of an image region may be determined from the position of the image region in the facial image, the closer to the center region, the greater the weight value.
In one example, the size of the image areas may be different, the weight value of each image area may be set according to the image area, for example, the weight value may be set as a ratio of the area of the image area to the area of all the image areas.
Wherein the sum of the weight values of all image areas may be set to 1.
In an example where the first position information is set in the photographing component, the acquiring scheme of the image quality parameter may specifically include:
determining a face image corresponding to the first position information in a preview image shot by the terminal through the shooting component,
determining sub-images of at least two different image areas in the face image through the shooting component;
acquiring sub-image quality parameters of each sub-image through the shooting assembly;
and carrying out weighted summation on the sub-image quality parameters through the shooting component to obtain the image quality parameters of the face image.
In an example where the other component sends the second position information to the capturing component, the image quality parameter obtaining scheme may specifically include:
Determining a face image corresponding to the second position information in a preview image shot by the terminal through the shooting component;
determining sub-images of at least two different image areas in the face image through the shooting component;
acquiring sub-image quality parameters of each sub-image through the shooting assembly;
and carrying out weighted summation on the sub-image quality parameters through the shooting component to obtain the image quality parameters of the face image.
In an example of transmitting the image quality parameter to the photographing component, the acquisition scheme of the image quality parameter may specifically include:
acquiring a face image displayed in the face shooting guide area from a preview image shot by the terminal;
determining sub-images of at least two different image areas in the face image;
acquiring sub-image quality parameters of each sub-image;
and carrying out weighted summation on the sub-image quality parameters to obtain the image quality parameters of the face image.
103. Adjusting the current shooting parameters of the terminal based on the image quality parameters;
in this embodiment, a reference standard may be set for the image quality parameter, based on which it is determined whether or not the current photographing parameter needs to be adjusted, and how to adjust the current photographing parameter.
In the present embodiment, for each image quality parameter, a parameter range of a corresponding reference image quality parameter may be set, respectively.
Optionally, the step of "adjusting the current shooting parameter of the terminal based on the image quality parameter" may include:
comparing the image quality parameter with a parameter range of a reference image quality parameter;
if the image quality parameter is out of the parameter range, determining a parameter change target of the image quality parameter;
and adjusting the current shooting parameters of the terminal based on the parameter change target.
In this embodiment, the parameter change target may be a target image quality parameter of an image quality parameter, and the step of "adjusting the current shooting parameter of the terminal based on the parameter change target" may include: and adjusting the current shooting parameters of the terminal based on the target image quality parameters.
For example, taking an image quality parameter as an image luminance as an example, the reference range of the reference image luminance may be K1-K2, K1 being the minimum image luminance, and K2 being the maximum image luminance. The step of determining the parameter change target of the image quality parameter if the image quality parameter is outside the parameter range may be: if the image brightness of the face image is smaller than K1 or larger than K2, determining that the target image brightness of the image brightness is a value between K1 and K2, for example, (k1+k2)/2, and then adjusting the exposure parameters, such as the exposure time and the like, in the current shooting parameters of the terminal based on the target image brightness.
For example, taking an image quality parameter as an image definition as an example, a reference range of reference image brightness may be represented by the lowest definition. The step of determining the parameter change target of the image quality parameter if the image quality parameter is outside the parameter range may be: if the image definition of the face image is smaller than the minimum definition, determining the target image definition of the image brightness as the minimum image definition, and then adjusting focusing parameters such as the focus position, the depth of field and the like in the current shooting parameters of the terminal based on the minimum image definition.
In another example, the parameter change target may be represented by a change amount of the image quality parameter.
Optionally, the step of determining the parameter change target of the image quality parameter if the image quality parameter is outside the parameter range may include:
if the image quality parameter is out of the parameter range, determining the minimum variation of the image quality parameter which enables the image quality parameter to be located in the parameter range;
the adjusting the current shooting parameters of the terminal based on the parameter change target includes:
and adjusting the current shooting parameters of the terminal based on the minimum variation of the image quality parameters.
In one example, the image quality parameter includes image brightness, and the parameter range includes minimum image brightness and maximum image brightness; the step of determining the minimum variation of the image quality parameter so that the image quality parameter is within the parameter range if the image quality parameter is outside the parameter range, includes:
if the image brightness of the face image is lower than the minimum image brightness or exceeds the maximum image brightness, determining a brightness minimum variation amount for enabling the image brightness to be between the minimum image brightness and the maximum image brightness;
the adjusting the current shooting parameters of the terminal based on the minimum variation of the image quality parameters comprises:
and adjusting the exposure parameters in the current shooting parameters of the terminal based on the minimum brightness variation.
Among them, the exposure parameters include, but are not limited to, exposure time period, aperture size, and the like.
For example, the reference range of the reference image brightness may be K1-K2, K1 is the minimum image brightness, K2 is the maximum image brightness, if the image brightness of the face image is K3, K3 is smaller than K1, the minimum brightness variation of the image brightness is determined to be K1-K3, and then the exposure parameters, such as the exposure time, and the like, in the current shooting parameters of the terminal are adjusted based on K1-K3.
104. And shooting the target object based on the adjusted shooting parameters to obtain an image to be identified.
In this embodiment, when the image to be recognized is obtained, the local image displayed in the face shooting guiding area in the image shooting page may be updated according to the image to be recognized.
105. And acquiring a target face image of the target object from the image to be identified.
In one example, when a face image of a target object is acquired from an image to be recognized, face region recognition may be performed on the image to be recognized, a face region in the image is determined based on the result of the face region recognition, and then the target face image in the face region is acquired.
In another example, the target face image may be quickly acquired based on the face capture guide area without the need for recognition of the face area.
The optional step of acquiring the target face image of the target object from the image to be identified may include:
determining a target face image area in the image to be recognized based on the face shooting guide area;
and acquiring an image in the target face image area from the image to be recognized as a target face image of the target object.
Wherein, the step of determining the target face image area in the image to be recognized based on the face shooting guide area may include:
the face photographing guide area is determined as a target face image area in the image to be recognized.
Alternatively, the step of determining the target face image area in the image to be recognized "based on the face photographing guide area may include:
expanding the face shooting guide area by a preset multiple based on the center of the face shooting guide area to obtain an expanded image area;
the enlarged image area is determined as a target face image area in the image to be recognized.
106. And carrying out face recognition on the target object based on the target face image.
The face recognition in the present embodiment may be face verification, or face payment verification, or the like, and the present embodiment is not limited thereto.
In the door control scene, the target face image is used for door control management, the terminal of the embodiment can be door control management equipment, and after the terminal obtains the target face image, whether the target object of the target face image is a legal user can be judged based on the stored face image of the legal user.
In the face payment scenario, the step of "performing face recognition on the target object based on the target face image" may include:
and carrying out face payment verification on the target object based on the target face image.
The terminal can send the target face image to the server, and trigger the server to recognize the face aiming at the target face image. The server may perform face payment verification based on the target face image, specifically, may match the target face image with the face image in the database (e.g., cloud database), and if the matching is successful, determine that the face payment verification of the target object is successful.
In this embodiment, when the face of the target is recognized, a Computer Vision technology (CV) is needed, and Computer Vision is a science of researching how to make the machine "look", and further, a camera and a Computer are used to replace human eyes to recognize, track and measure the target, and further perform graphics processing, so that the Computer is processed into an image more suitable for human eyes to observe or transmit to an instrument to detect. As a scientific discipline, computer vision research-related theory and technology has attempted to build artificial intelligence systems that can acquire information from images or multidimensional data. Computer vision techniques typically include image processing, image recognition, image semantic understanding, image retrieval, OCR, video processing, video semantic understanding, video content/behavior recognition, three-dimensional object reconstruction, 3D techniques, virtual reality, augmented reality, synchronous positioning, and map construction, among others, as well as common biometric recognition techniques such as face recognition, fingerprint recognition, and others.
Face recognition of the target face image may be achieved in this embodiment using face recognition techniques in computer vision techniques.
By adopting the embodiment of the application, the image shooting page can be displayed, wherein the image shooting page comprises a face shooting guide area, the face shooting guide area displays a face image of a target object, and the face image is a local image positioned in the face shooting guide area in a preview image shot by the terminal based on the current shooting parameters; image quality parameters of the face image can be acquired; therefore, in the embodiment, the face image in the preview image can be determined without face recognition, so that the requirement on terminal resources can be effectively reduced, the time required by the terminal for determining the image quality parameters of the face image is reduced, and then the current shooting parameters of the terminal can be adjusted based on the image quality parameters; shooting the target object based on the adjusted shooting parameters to obtain an image to be identified; acquiring a target face image of a target object from an image to be identified; based on the target face image, the face of the target object is identified, and the adjusted shooting parameters can ensure the image quality of the face area in the image to be identified, so that the face identification effect is improved.
In order to better implement the above method, correspondingly, the embodiment of the invention also provides a face recognition device which is specifically integrated in the terminal.
Referring to fig. 3, the face recognition apparatus includes:
a shooting page display unit 301, configured to display an image shooting page, where the image shooting page includes a face shooting guide area, and the face shooting guide area displays a face image of a target object, where the face image is a partial image located in the face shooting guide area in a preview image shot by a terminal based on current shooting parameters;
a quality parameter acquiring unit 302, configured to acquire an image quality parameter of the face image;
a shooting parameter adjustment unit 303, configured to adjust the current shooting parameter of the terminal based on the image quality parameter;
the shooting unit 304 is configured to shoot the target object based on the adjusted shooting parameters, to obtain an image to be identified;
a target face image acquisition unit 305 for acquiring a target face image of the target object from the image to be recognized;
and a face recognition unit 306, configured to perform face recognition on the target object based on the target face image.
Optionally, the shooting component of the terminal includes: first position information of the face shooting guide area in an image shot by the terminal;
a quality parameter acquisition unit comprising:
a first facial image determining subunit, configured to determine, by using the capturing component, a facial image corresponding to the first position information in a preview image captured by the terminal;
and the first quality parameter determining subunit is used for determining the image quality parameters of the face image through the shooting component.
Optionally, the quality parameter obtaining unit includes:
a position information determining subunit configured to determine second position information in the preview image captured by the terminal, the face capturing guide area;
a position information transmitting subunit, configured to transmit the second position information to a shooting component of the terminal;
a second facial image determining subunit, configured to determine, by using the capturing component, a facial image corresponding to the second position information in a preview image captured by the terminal;
and the second quality parameter determining subunit is used for determining the image quality parameters of the face image through the shooting component.
Optionally, the quality parameter obtaining unit includes:
A third face image determining subunit, configured to obtain, from a preview image captured by the terminal, a face image displayed in the face capturing guide area;
a third quality parameter determination subunit configured to determine an image quality parameter of the face image based on image content of the face image;
a request subunit, configured to generate a shooting parameter adjustment request that includes the image quality parameter, and send the shooting parameter adjustment request to a shooting component of the terminal;
correspondingly, a shooting parameter adjusting unit is configured to adjust, by using the shooting component, the current shooting parameter of the terminal based on the image quality parameter in the shooting parameter adjustment request.
Optionally, the quality parameter obtaining unit includes:
a sub-image determining unit configured to determine sub-images of at least two different image areas in the face image;
a sub-image quality parameter obtaining sub-unit, configured to obtain sub-image quality parameters of each sub-image;
and the image quality parameter acquisition subunit is used for carrying out weighted summation on the sub-image quality parameters to obtain the image quality parameters of the face image.
Optionally, the shooting parameter adjusting unit includes:
A parameter comparison subunit, configured to compare the image quality parameter with a parameter range of a reference image quality parameter;
a target determining subunit, configured to determine a parameter change target of the image quality parameter if the image quality parameter is outside the parameter range;
and the parameter adjustment subunit is used for adjusting the current shooting parameters of the terminal based on the parameter change target.
Optionally, the target determining subunit is configured to determine, if the image quality parameter is outside the parameter range, a minimum variation of the image quality parameter that makes the image quality parameter lie within the parameter range;
and the parameter adjustment subunit is used for adjusting the current shooting parameter of the terminal based on the minimum variation of the image quality parameter.
Optionally, the image quality parameter includes image brightness, and the parameter range includes minimum image brightness and maximum image brightness;
a target determination subunit configured to determine a luminance minimum variation amount that causes the image luminance to be between the minimum image luminance and the maximum image luminance if the image luminance of the face image is lower than the minimum image luminance or exceeds the maximum image luminance;
And the parameter adjustment subunit is used for adjusting the exposure parameter in the current shooting parameters of the terminal based on the minimum brightness variation.
Optionally, the target face image acquisition unit includes:
a region determination subunit configured to determine a target face image region in the image to be recognized based on the face photographing guide region;
an image acquisition subunit, configured to acquire, from the image to be identified, an image in the target face image area as a target face image of the target object.
Optionally, the shooting page display unit includes a payment page display subunit and a shooting page display subunit:
the payment page display subunit is used for displaying a payment page, and the payment page comprises a face payment control;
the shooting page display subunit is used for displaying the image shooting page when the triggering operation of the face payment control is detected;
the face recognition unit is used for carrying out face payment verification on the target object based on the target face image.
By adopting the face recognition device of the embodiment, the user can be guided to move through the image shooting page, so that the face of the user is displayed in the face shooting guiding area, the terminal can treat the local image displayed in the face shooting guiding area as a face image, and acquire the image quality parameters of the face image.
In addition, the embodiment of the present invention further provides a computer device, which may be a terminal or a server, as shown in fig. 4, which shows a schematic structural diagram of the computer device according to the embodiment of the present invention, specifically:
the computer device may include one or more processors 401 of a processing core, memory 402 of one or more computer readable storage media, a power supply 403, and an input unit 404, among other components. Those skilled in the art will appreciate that the computer device structure shown in FIG. 4 is not limiting of the computer device and may include more or fewer components than shown, or may be combined with certain components, or a different arrangement of components. Wherein:
processor 401 is the control center of the computer device and connects the various parts of the entire computer device using various interfaces and lines to perform various functions of the computer device and process data by running or executing software programs and/or modules stored in memory 402 and invoking data stored in memory 402, thereby performing overall monitoring of the computer device. Optionally, processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, an application program, etc., and the modem processor mainly processes wireless communication. It will be appreciated that the modem processor described above may not be integrated into the processor 401.
The memory 402 may be used to store software programs and modules, and the processor 401 executes various functional applications and data processing by executing the software programs and modules stored in the memory 402. The memory 402 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created according to the use of the computer device, etc. In addition, memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 with access to the memory 402.
The computer device further comprises a power supply 403 for supplying power to the various components, preferably the power supply 403 may be logically connected to the processor 401 by a power management system, so that functions of charge, discharge, and power consumption management may be performed by the power management system. The power supply 403 may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.
The computer device may also include an input unit 404, which input unit 404 may be used to receive input numeric or character information and to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
Although not shown, the computer device may further include a display unit or the like, which is not described herein. In particular, in this embodiment, the processor 401 in the computer device loads executable files corresponding to the processes of one or more application programs into the memory 402 according to the following instructions, and the processor 401 executes the application programs stored in the memory 402, so as to implement various functions as follows:
according to one aspect of the present application, there is also provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the methods provided in the various alternative implementations of the above embodiments.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor.
To this end, an embodiment of the present invention further provides a storage medium in which a plurality of instructions are stored, where the instructions can be loaded by a processor to perform the face recognition method provided by the embodiment of the present invention.
The specific implementation of each operation above may be referred to the previous embodiments, and will not be described herein.
Wherein the storage medium may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.
The steps in the face recognition method provided by the embodiment of the present invention can be executed due to the instructions stored in the storage medium, so that the beneficial effects that can be achieved by the face recognition method provided by the embodiment of the present invention can be achieved, and detailed descriptions of the previous embodiments are omitted herein.
The foregoing has described in detail the face recognition method, apparatus, computer device and storage medium provided by the embodiments of the present invention, and specific examples have been applied to illustrate the principles and embodiments of the present invention, and the above description of the embodiments is only for aiding in understanding the method and core idea of the present invention; meanwhile, as those skilled in the art will vary in the specific embodiments and application scope according to the ideas of the present invention, the present description should not be construed as limiting the present invention in summary.
Claims (12)
1. A face recognition method, comprising:
displaying an image shooting page, wherein the image shooting page comprises a face shooting guide area, the face shooting guide area displays a face image of a target object, and the face image is a local image of the face shooting guide area in a preview image shot by a terminal based on current shooting parameters; only partial images in the face shooting guide area are displayed in the preview image, and other images are in a shielding state;
determining an image quality parameter of the face image based on the image of the face photographing guide region;
adjusting the current shooting parameters of the terminal based on the image quality parameters;
shooting the target object based on the adjusted shooting parameters to obtain an image to be identified;
acquiring a target face image of the target object from the image to be identified;
performing face recognition on the target object based on the target face image;
wherein the determining the image quality parameter of the face image based on the image of the face photographing guide area includes:
determining sub-images of at least two different image areas in the face image based on the image of the face shooting guide area, wherein each image area is set to be 1/n of the face image, one image area is a central area of the face image, and other image areas are selected around the central area;
Acquiring sub-image quality parameters of each sub-image;
and carrying out weighted summation on the sub-image quality parameters to obtain the image quality parameters of the face image, wherein the sum of the weight values of all the image areas is 1, and the weight value of the image area which is closer to the center area of the face image is larger.
2. The face recognition method of claim 1, wherein the photographing component of the terminal comprises: first position information of the face shooting guide area in an image shot by the terminal;
the determining an image quality parameter of the face image based on the image of the face photographing guide area includes:
determining a face image corresponding to the first position information in a preview image shot by the terminal through the shooting component;
and determining an image quality parameter of the face image through the shooting component.
3. The face recognition method according to claim 1, wherein the determining an image quality parameter of the face image based on the image of the face photographing guide area includes:
determining the face shooting guide area and second position information in a preview image shot by the terminal;
Transmitting the second position information to a shooting component of the terminal;
determining a face image corresponding to the second position information in a preview image shot by the terminal through the shooting component;
and determining an image quality parameter of the face image through the shooting component.
4. The face recognition method according to claim 1, wherein the determining an image quality parameter of the face image based on the image of the face photographing guide area includes:
acquiring a face image displayed in the face shooting guide area from a preview image shot by the terminal;
determining an image quality parameter of the face image based on image content of the face image;
generating a shooting parameter adjustment request containing the image quality parameters and sending the shooting parameter adjustment request to a shooting component of the terminal;
the adjusting the current shooting parameters of the terminal based on the image quality parameters comprises:
and adjusting the current shooting parameters of the terminal based on the image quality parameters in the shooting parameter adjustment request through the shooting component.
5. The face recognition method according to claim 1, wherein the adjusting the current photographing parameter of the terminal based on the image quality parameter includes:
Comparing the image quality parameter with a parameter range of a reference image quality parameter;
if the image quality parameter is out of the parameter range, determining a parameter change target of the image quality parameter;
and adjusting the current shooting parameters of the terminal based on the parameter change target.
6. The face recognition method of claim 5, wherein determining a parameter change target for the image quality parameter if the image quality parameter is outside the parameter range comprises:
if the image quality parameter is out of the parameter range, determining the minimum variation of the image quality parameter which enables the image quality parameter to be located in the parameter range;
the adjusting the current shooting parameters of the terminal based on the parameter change target includes:
and adjusting the current shooting parameters of the terminal based on the minimum variation of the image quality parameters.
7. The face recognition method of claim 6, wherein the image quality parameter comprises image brightness, and the parameter range comprises minimum image brightness and maximum image brightness;
And if the image quality parameter is out of the parameter range, determining the minimum variation of the image quality parameter which enables the image quality parameter to be in the parameter range, including:
if the image brightness of the face image is lower than the minimum image brightness or exceeds the maximum image brightness, determining a brightness minimum variation amount for enabling the image brightness to be between the minimum image brightness and the maximum image brightness;
the adjusting the current shooting parameters of the terminal based on the minimum variation of the image quality parameters comprises:
and adjusting the exposure parameters in the current shooting parameters of the terminal based on the minimum brightness variation.
8. The face recognition method according to any one of claims 1 to 7, wherein the acquiring the target face image of the target object from the image to be recognized includes:
determining a target face image area in the image to be recognized based on the face shooting guide area;
and acquiring an image in the target face image area from the image to be recognized as a target face image of the target object.
9. The face recognition method according to any one of claims 1 to 7, wherein displaying the image capturing page includes:
Displaying a payment page, wherein the payment page comprises a face payment control;
when the triggering operation of the face payment control is detected, displaying the image shooting page;
the face recognition of the target object based on the target face image includes:
and carrying out face payment verification on the target object based on the target face image.
10. A face recognition apparatus, comprising:
a shooting page display unit, configured to display an image shooting page, where the image shooting page includes a face shooting guide area, the face shooting guide area displays a face image of a target object, and the face image is a local image located in the face shooting guide area in a preview image shot by a terminal based on current shooting parameters; only partial images in the face shooting guide area are displayed in the preview image, and other images are in a shielding state;
a quality parameter acquisition unit configured to determine an image quality parameter of the face image based on an image of the face photographing guide area;
a shooting parameter adjustment unit, configured to adjust the current shooting parameter of the terminal based on the image quality parameter;
The shooting unit is used for shooting the target object based on the adjusted shooting parameters to obtain an image to be identified;
a target face image acquisition unit configured to acquire a target face image of the target object from the image to be recognized;
a face recognition unit configured to perform face recognition on the target object based on the target face image;
the quality parameter obtaining unit is specifically configured to determine sub-images of at least two different image areas in the face image based on the image of the face shooting guide area, where each image area is set to be 1/n of the face image, one image area is a central area of the face image, and other image areas are selected around the central area; acquiring sub-image quality parameters of each sub-image; and carrying out weighted summation on the sub-image quality parameters to obtain the image quality parameters of the face image, wherein the sum of the weight values of all the image areas is 1, and the weight value of the image area which is closer to the center area of the face image is larger.
11. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to any of claims 1-9 when the computer program is executed by the processor.
12. A storage medium having stored thereon a computer program, characterized in that the computer program, when run on a computer, causes the computer to perform the steps of the method according to any of claims 1 to 9.
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