CN110602379A - Method, device and equipment for shooting certificate photo and storage medium - Google Patents
Method, device and equipment for shooting certificate photo and storage medium Download PDFInfo
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- CN110602379A CN110602379A CN201910751640.9A CN201910751640A CN110602379A CN 110602379 A CN110602379 A CN 110602379A CN 201910751640 A CN201910751640 A CN 201910751640A CN 110602379 A CN110602379 A CN 110602379A
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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
- H04N23/62—Control of parameters via user interfaces
Abstract
The application relates to the field of artificial intelligence, and provides a method, a device, equipment and a storage medium for shooting a certificate photo, wherein the method comprises the following steps: after a shooting device of the terminal is started, displaying a plurality of shooting modes in a function menu, wherein each shooting mode is a shooting mode for defining a shooting type of a certificate photo, and each shooting mode corresponds to configuration parameters of a group of image features; acquiring a picture shot by a shooting device according to a first configuration parameter acquired by a target shooting mode selected by a user; recognizing a face in a picture shot by a camera according to a face recognition algorithm, and positioning the position of the face in the picture through a positioning frame; analyzing the face in the picture, and judging whether the face in the picture meets the condition of the first configuration parameter; and carrying out standardization processing on the face image according to the first configuration parameters to generate a certificate photo. By adopting the scheme, the generation efficiency and the success rate of the self-service shooting certificate photo can be improved.
Description
Technical Field
The present application relates to the field of artificial intelligence, and in particular, to a method, an apparatus, a device, and a storage medium for capturing a certificate photo.
Background
At present, the certificate photo shooting is carried out manually by going to a photo studio, the background color of the photo is manually selected according to different certificate photo purposes, the mode needs to be carried out by going to the off-line photo studio, the method has site limitation, long time consumption and high cost. With the popularization of smart phones, especially with the continuous improvement of the performance of cameras mounted on smart phones, the mobile phone photographing function basically becomes a function frequently used by most users. In addition to the common photographing function which is most commonly used at ordinary times, more and more users choose to make identification photos by using photos taken by mobile phones.
However, the mode of taking the certificate photo by using the mobile phone is complex to operate, the user is required to be skilled in using the picture editing tool, the use is inconvenient, certain operation difficulty is realized, and the success rate of obtaining the certificate photo meeting the requirements is not high.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for shooting a certificate photo, which can solve the problems that in the prior art, the difficulty of self-service shooting of the certificate photo is high, and the success rate of obtaining the certificate photo meeting the requirement is not high.
In a first aspect, the present application provides a method of capturing a certificate photo, the method comprising:
after a shooting mode selection instruction triggered by a user based on a terminal is received, starting a shooting device of the terminal according to the shooting mode selection instruction, and displaying a plurality of shooting modes in a function menu, wherein each shooting mode corresponds to configuration parameters of a group of image features;
acquiring a first configuration parameter based on a target shooting mode selected by a user, and acquiring a picture shot by the shooting device according to the first configuration parameter;
recognizing the face in the picture according to a face recognition algorithm, and positioning the position of the face in the picture through a positioning frame; the positioning frame is used for positioning a detection object matched with a preset shooting object in the picture;
analyzing the face in the picture, and judging whether the face in the picture meets the condition of the first configuration parameter;
and carrying out standardization processing on the face image according to the first configuration parameter to generate a certificate photo.
In some possible designs, the acquiring a picture captured by the capturing device according to the first configuration parameter corresponding to the target capturing mode includes:
switching a shooting mode of a shooting device to the target shooting mode according to the instruction, and setting configuration parameters of the shooting device as the first configuration parameters by default, so that the shooting device collects pictures shot by the shooting device according to the first configuration parameters;
starting a shooting function of the shooting device to obtain a picture to be shot, which is obtained by the shooting device;
adjusting the picture to be shot according to the first configuration parameters so that the shooting environment of the shooting device conforms to each parameter in the first configuration parameters;
and when the shooting environment of the shooting device is detected to accord with various parameters in the first configuration parameters, shooting a picture to be shot in the shooting device.
In some possible designs, after the locating the position of the face in the picture, the method further includes:
comparing the face in the picture with a preset face image, and if the face in the picture is not complete through comparison, detecting the coordinates of each pixel point on the face contour in the picture and the missing part of the face;
calculating the coordinate difference between the coordinates of each pixel point on the face contour in the picture and the picture;
determining a moving direction according to the coordinate difference between the coordinates of the missing part of the human face and the coordinates of each pixel point on the contour of the human face in the picture and the picture, wherein the moving direction comprises a direction in which a terminal is to move or a direction in which the human face is to move;
sending first prompt information for indicating a moving direction, wherein the first prompt information is used for indicating a user to move a face in a picture until the face in the picture is completely displayed; or the first prompt information is used for indicating the user to move relative to the terminal until the face in the picture is completely displayed;
and detecting the face in the picture in real time, matching the face detected in real time with a preset face image, and sending out second prompt information after detecting that the face in the picture is completely displayed.
In some possible designs, the condition of the first configuration parameter is a frontal face condition; the analyzing the face in the picture to judge whether the face in the picture meets the condition of the first configuration parameter includes:
detecting the face in the picture through the face recognition algorithm, and recognizing and positioning key features of the face; the key features of the face comprise corresponding feature points of eyes, cheekbones, a nose, a mouth, a chin and the like;
calculating the intervals among the characteristic points and the proportional relation among the intervals;
judging whether the face angle meets the face righting condition or not according to the space between the feature points and the proportional relation between the spaces;
if the distances among the characteristic points and the proportional relation among the distances are determined to be in a normal range, the human face is considered to be in accordance with the face-righting condition; and if the proportional relation between the distances among part or all of the feature points and the distances is determined not to be in the normal range, determining that the face angle does not accord with the face righting condition.
In some possible designs, the analyzing the face in the picture to determine whether the face in the picture meets the condition of the first configuration parameter further includes:
judging whether wearing articles and/or facial texture features exist in the human face, wherein the wearing articles can comprise hats, glasses and dresses; the facial texture features refer to beauty marks;
if the face is judged to contain the wearing article, whether the wearing article meets the configuration condition of the wearing article defined in the first configuration parameter is judged according to the first configuration parameter. And if the makeup trace is judged to exist in the face, judging whether the makeup trace meets the configuration condition of the facial texture feature defined in the first configuration parameter or not according to the first configuration parameter.
In some possible designs, the normalizing the face image according to the first configuration parameter to generate a certificate photo includes:
cutting the face image according to the size set in the first configuration parameter to obtain an image with a proper size;
adjusting the background color of the face image according to the background color set in the first configuration parameter so that the face image meets the requirement of the background color;
and compressing the face image according to the pixels set in the first configuration parameters to obtain an image with a preset resolution, and taking the image with the preset resolution as the identification photo.
In a second aspect, the present application provides an apparatus for photographing a certification photo, having functions of implementing the method for photographing a certification photo provided corresponding to the first aspect described above. The functions can be realized by hardware, and the functions can also be realized by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the above functions, which may be software and/or hardware.
In one possible design, the apparatus includes:
the terminal comprises a receiving and sending module, a control module and a processing module, wherein the receiving and sending module is used for receiving a shooting mode selection instruction triggered by a user based on the terminal and sending the shooting mode selection instruction to the control module;
the control module is used for starting a shooting device of the terminal according to the instruction received from the transceiver module and displaying a plurality of shooting modes in a function menu, wherein each shooting mode corresponds to a group of configuration parameters of image features;
the acquisition module is used for acquiring a first configuration parameter based on a target shooting mode selected by a user and acquiring a picture shot by the shooting device according to the first configuration parameter;
the processing module is used for identifying the face in the picture shot by the camera according to a face identification algorithm and positioning the position of the face in the picture through a positioning frame; the positioning frame is used for positioning a detection object matched with a preset shooting object in the picture; analyzing the face in the picture, and judging whether the face in the picture meets the condition of the first configuration parameter; and carrying out standardization processing on the face image according to the first configuration parameter to generate a certificate photo.
In one possible design, the processing module is specifically configured to:
switching a shooting mode of a shooting device to the target shooting mode according to the instruction, and setting configuration parameters of the shooting device as the first configuration parameters by default, so that the shooting device collects pictures shot by the shooting device according to the first configuration parameters;
starting a shooting function of the shooting device to obtain a picture to be shot, which is obtained by the shooting device;
adjusting the picture to be shot according to the first configuration parameters so that the shooting environment of the shooting device conforms to each parameter in the first configuration parameters;
and when the shooting environment of the shooting device is detected to accord with various parameters in the first configuration parameters, shooting a picture to be shot in the shooting device through the acquisition module.
In some possible designs, after the position of the face in the picture is located, the processing module is further configured to:
comparing the face in the picture with a preset face image, and if the face in the picture is not complete through comparison, detecting the coordinates of each pixel point on the face contour in the picture and the missing part of the face;
calculating the coordinate difference between the coordinates of each pixel point on the face contour in the picture and the picture;
determining a moving direction according to the coordinate difference between the coordinates of the missing part of the human face and the coordinates of each pixel point on the contour of the human face in the picture and the picture, wherein the moving direction comprises a direction in which a terminal is to move or a direction in which the human face is to move;
sending first prompt information for indicating a moving direction through the transceiving module, wherein the first prompt information is used for indicating a user to move a face in a picture until the face in the picture is completely displayed; or the first prompt information is used for indicating the user to move relative to the terminal until the face in the picture is completely displayed;
and detecting the face in the picture in real time, matching the face detected in real time with a preset face image, and sending out second prompt information after detecting that the face in the picture is completely displayed.
In some possible designs, the condition of the first configuration parameter is a frontal face condition; the processing module is specifically configured to:
and detecting the face in the picture through the face recognition algorithm, and recognizing and positioning key features of the upper face in the face. The key features of the face comprise corresponding feature points of eyes, cheekbones, a nose, a mouth, a chin and the like;
calculating the intervals among the characteristic points and the proportional relation among the intervals;
judging whether the face angle meets the face righting condition or not according to the space between the feature points and the proportional relation between the spaces;
and if the distances among the characteristic points and the proportional relation among the distances are determined to be in a normal range, the human face is considered to be in accordance with the face-righting condition. And if the proportional relation between the distances among part or all of the feature points and the distances is determined not to be in the normal range, determining that the face angle does not accord with the face righting condition.
In some possible designs, the processing module is further to:
judging whether wearing articles and/or facial texture features exist in the face, wherein the wearing articles can comprise hats, glasses and dresses, and the facial texture features refer to beauty marks;
if the face is judged to contain the wearing article, whether the wearing article meets the configuration condition of the wearing article defined in the first configuration parameter is judged according to the first configuration parameter. And if the makeup trace is judged to exist in the face, judging whether the makeup trace meets the configuration condition of the facial texture feature defined in the first configuration parameter or not according to the first configuration parameter.
In some possible designs, the processing module is specifically configured to:
cutting the face image according to the size set in the first configuration parameter to obtain an image with a proper size;
adjusting the background color of the face image according to the background color set in the first configuration parameter so that the face image meets the requirement of the background color;
and compressing the face image according to the pixels set in the first configuration parameters to obtain an image with a preset resolution, and taking the image with the preset resolution as the identification photo.
A further aspect of the application provides a computer device comprising at least one connected processor, memory and transceiver, wherein the memory is configured to store program code and the processor is configured to invoke the program code in the memory to perform the method of the first aspect.
A further aspect of the present application provides a computer storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of the first aspect described above.
Compared with the existing mechanism, in the embodiment of the application, after the shooting device is started, the corresponding first configuration parameters are called according to the selected target shooting mode, the human face in the first configuration parameter picture is used for correction and adjustment, and the human face image shot by the camera is processed to obtain the certificate photo. It is thus clear that through this scheme of adoption, the user need not to go to adjust the facial image with the help of the software of shooing that the third party provided, also need not to utilize other picture editing tools to handle the people's face by oneself, just can realize that intelligent and automatic formation satisfies the certificate that the user expects and the certificate shines the condition simultaneously and shine, can improve the generation efficiency that the certificate shines, uses the threshold low and simple operation, can promote user experience.
Drawings
FIG. 1 is a schematic flow chart of a method for capturing a certificate photo in an embodiment of the present application;
fig. 2 is a schematic interface diagram illustrating a first prompt message displayed in a screen according to an embodiment of the present application;
fig. 3 is a schematic interface diagram illustrating a second prompt message displayed in a screen according to an embodiment of the present application;
FIG. 4 is a schematic diagram of an embodiment of the present application showing an apparatus for capturing a document photo;
fig. 5 is a schematic structural diagram of a computer device in an embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. The terms "first," "second," and the like in the description and in the claims of the present application and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or modules is not necessarily limited to those steps or modules explicitly listed, but may include other steps or modules not explicitly listed or inherent to such process, method, article, or apparatus, and such that a division of modules presented in this application is merely a logical division that may be implemented in an actual application in a different manner, such that multiple modules may be combined or integrated into another system, or some features may be omitted, or may not be implemented.
The application provides a method, a device, equipment and a storage medium for shooting a certificate photo. Can be used for shooting the certificate photo by self based on artificial intelligence.
In order to solve the technical problems, the application mainly provides the following technical scheme:
by introducing application AI image recognition and image processing technologies, the conditions of facial expressions, makeup, hat wearing, glasses wearing, face angle, dressing color and the like are automatically recognized in the photographing process, whether the photographed picture meets the requirements of the certificate photo is automatically prompted, no special requirements are required for external scenes such as a photographing field and a photographing background, the certificate photo with the specified specification, background color and size is automatically generated after the photographing is finished, the photographing effect can be seen immediately, the re-photographing is supported under the unsatisfactory condition, the certificate photo can be stored in local equipment after the photographing is finished, and the backup of the photo is supported and stored in a private cloud space at the same time. The operation on electronic terminals such as mobile phones and computers is supported. The certificate photo is shot at any time and any place as desired.
Referring to fig. 1, a method for capturing a certificate photo in an embodiment of the present application is described as follows, the method including:
101. after a shooting mode selection instruction triggered by a user based on a terminal is received, a shooting device of the terminal is started according to the shooting mode selection instruction, and multiple shooting modes are displayed in a function menu.
Each shooting mode is a shooting mode for defining a type of identification photo, each shooting mode corresponds to configuration parameters of a group of image features, and the configuration parameters are configured in the shooting device in advance. For example, the credential types can include credential types in standard formats (also referred to as fixed formats) such as identification cards, passports, social security cards, drivers licenses, residence permit, and passes. .
The configuration parameters include at least one of: size, background color, pixel, exposure, configuration condition of wearing object, configuration condition of facial texture feature and facial expression configuration condition; the configuration parameters provide the photographing apparatus with a plurality of photographing environments for photographing pictures.
Wherein, the size indicates the size of the certificate photo, such as the identity certificate is 32mm 26 mm. The background color indicates the background color of the identification card photo, for example, the background color of the identification card photo is white. The pixels indicate the resolution of the identification photograph. The identification card of the wearing article can meet special requirements of the wearing article, such as incapability of wearing a hat, incapability of putting on a head and giving off, incapability of wearing glasses, incapability of making up or shading eyes and the like, or the requirement that all five sense organs are exposed, such as eyes and ears, and the like. The configuration conditions of the facial texture features include configuration conditions of a makeup level and configuration conditions of a degree of ambiguity. The facial expression configuration condition includes a configuration condition of an expression such as anger, squint, smiling face, or mouth opening.
102. Acquiring a first configuration parameter based on a target shooting mode selected by a user, and acquiring a picture shot by the shooting device according to the first configuration parameter.
Specifically, the target shooting mode is an identification card shooting mode, and the first configuration parameters corresponding to the identification card shooting mode include size, background color, pixels, exposure, configuration conditions of wearing objects, configuration conditions of facial texture features, and configuration conditions of facial expressions;
in some embodiments, the acquiring a picture captured by the capturing device according to the first configuration parameter corresponding to the target capturing mode includes:
switching a shooting mode of a shooting device to the target shooting mode according to the instruction, and setting configuration parameters of the shooting device as the first configuration parameters by default, so that the shooting device collects pictures shot by the shooting device according to the first configuration parameters;
starting a shooting function of the shooting device to obtain a picture to be shot, which is obtained by the shooting device;
adjusting the picture to be shot according to the first configuration parameters (such as the size, the background color, the pixels, the exposure, the configuration conditions of a wearing object, the configuration conditions of facial texture features and the configuration conditions of facial expressions), so that the shooting environment of the shooting device conforms to each parameter in the first configuration parameters;
and when the shooting environment of the shooting device is detected to accord with various parameters in the first configuration parameters, shooting a picture to be shot in the shooting device.
In some embodiments, the picture may be a dynamically shot video, and pictures in the picture are not shot until a shooting instruction of the user is not detected.
103. And recognizing the face in the picture according to a face recognition algorithm, and positioning the position of the face in the picture through a positioning frame.
The positioning frame is used for positioning a detection object matched with a preset shooting object in the picture. For example, the target shooting mode is used for shooting a human face, and if it is detected that the detection object in the picture is a dog face, the positioning frame is not displayed; and if the detected object in the picture is detected to be a human face, displaying the positioning frame.
104. And analyzing the face in the picture, and judging whether the face in the picture meets the condition of the first configuration parameter.
In some embodiments, considering that a qualified face may not be captured, the face in the picture may be screened and prompted before the picture captured by the capturing device is captured according to the first configuration parameter corresponding to the target capturing mode, or before the identification photo is generated. Specifically, the following steps may be included:
(1) after the position of the face in the picture is located, comparing the face in the picture with a preset face image, and if the face in the picture is determined to be incomplete through comparison, detecting the coordinates of each pixel point on the face outline in the picture and the face missing part.
(2) And calculating the coordinate difference between the coordinates of each pixel point on the face contour in the picture and the picture.
(3) And determining the moving direction according to the coordinate difference between the coordinates of the missing part of the human face and each pixel point on the contour of the human face in the picture and the picture.
The moving direction comprises a direction in which the terminal is to be moved or a direction in which the face is to be moved.
(4) And sending first prompt information indicating the moving direction.
The first prompt information is used for indicating a user to move the face in the picture until the face in the picture is completely displayed; or the first prompt information is used for indicating the user to move relative to the terminal until the face in the picture is completely displayed.
In some embodiments, the first prompting message may be a notification message, a voice prompt, or a horizontal arrow. The notification message may float on the screen, and may be in an icon mode, a bullet frame mode, or a bullet screen mode. The voice prompt may be "please raise the head", "please move left", "please move right", or "please open the eyes", etc. The horizontal arrow may be a dynamic arrow, e.g., "→" indicating movement to the right and "←" indicating movement to the left. As shown in particular in fig. 2.
(5) And detecting the face in the picture in real time, matching the face detected in real time with a preset face image, and sending out second prompt information after detecting that the face in the picture is completely displayed.
Similarly, in some embodiments, the second prompt message may be a notification message, a voice prompt, or an alert icon. The notification message may float on the screen, and may be in an icon mode, a bullet frame mode, or a bullet screen mode. The voice prompt may be "please stop moving" or "OK", etc. The alert icon may be a static or dynamic exclamation point, such as "! "," √ "orAnd the like. As shown in particular in figure 3.
In some embodiments, the exposure level of the frame in the picture is detected, and if the exposure level does not meet the requirement of the certificate photo (for example, under-exposure or over-exposure), a third prompt message is sent or the exposure level of the picture is adaptively adjusted until the exposure level of the frame in the picture meets the condition of the certificate photo.
105. And carrying out standardization processing on the face image according to the first configuration parameter to generate a certificate photo.
In some embodiments, after the face image is obtained, the face image is subjected to clipping processing, background color adjustment, image compression and other processing according to the first configuration parameter, so as to obtain a certificate photo. Specifically, the normalizing the face image according to the first configuration parameter to generate the identification photo includes:
cutting the face image according to the size set in the first configuration parameter to obtain an image with a proper size;
adjusting the background color of the face image according to the background color set in the first configuration parameter so that the face image meets the requirement of the background color;
and compressing the face image according to the pixels set in the first configuration parameters to obtain an image with a preset resolution, and taking the image with the preset resolution as the identification photo.
Compared with the existing mechanism, in the embodiment of the application, after the shooting device is started, the corresponding first configuration parameters are called according to the selected target shooting mode, the human face in the first configuration parameter picture is used for correction and adjustment, and the human face image shot by the camera is processed to obtain the certificate photo. It is thus clear that through this scheme of adoption, the user need not to go to adjust the facial image with the help of the software of shooing that the third party provided, also need not to utilize other picture editing tools to handle the people's face by oneself, just can realize that intelligent and automatic formation satisfies the certificate that the user expects and the certificate shines the condition simultaneously and shine, can improve the generation efficiency that the certificate shines, uses the threshold low and simple operation, can promote user experience.
In some possible designs, the acquiring a picture captured by the capturing device according to the first configuration parameter corresponding to the target capturing mode includes:
switching a shooting mode of a shooting device to the target shooting mode according to the instruction, and setting configuration parameters of the shooting device as the first configuration parameters by default, so that the shooting device collects pictures shot by the shooting device according to the first configuration parameters;
starting a shooting function of the shooting device to obtain a picture to be shot, which is obtained by the shooting device;
adjusting the picture to be shot according to the first configuration parameters so that the shooting environment of the shooting device conforms to each parameter in the first configuration parameters;
and when the shooting environment of the shooting device is detected to accord with various parameters in the first configuration parameters, shooting a picture to be shot in the shooting device.
Optionally, in some embodiments of the present application, in order to further improve the success rate and the qualification rate of generating the identification photo, it may be further determined whether the face in the picture meets the face-righting condition. Specifically, the condition of the first configuration parameter is a face-front condition; the analyzing the face in the picture to judge whether the face in the picture meets the condition of the first configuration parameter includes:
(1) and detecting the face in the picture through a face recognition algorithm, and recognizing and positioning key features of the upper face in the face. The key features of the face comprise corresponding feature points of eyes, cheekbones, a nose, a mouth, a chin and the like;
and if all the characteristic points cannot be identified, the human face is considered not to accord with the face-righting condition.
(2) And calculating the intervals among the characteristic points and the proportional relation among the intervals.
(3) And judging whether the face angle meets the face righting condition or not according to the space between the characteristic points and the proportional relation between the spaces.
And if the distances among the characteristic points and the proportional relation among the distances are determined to be in a normal range, the human face is considered to be in accordance with the face-righting condition. And if the proportional relation between the distances among part or all of the feature points and the distances is determined not to be in the normal range, determining that the face angle does not accord with the face righting condition.
For example, if one eye is recognized, the face is considered as a side face and does not meet the front face condition. For another example, if two eyes are recognized and one of the two eyes is not in the normal range, at least one eye is closed, or the camera is not facing the face, such as looking down or looking up, the face is considered not to be in accordance with the face-facing condition; for another example, if two eyes are recognized and one of the two eyes is in a side face state, the face is considered as a side face and does not meet the front face condition.
For example, 2D data or 3D data of the face in the picture is identified, and if the face is too deviated from the 2D data or 3D data to display a full-angle face (for example, a non-frontal face), a fourth prompt message is sent, where the fourth prompt message is used to prompt to adjust the angle of the face in the picture. For example, the fourth prompting message is "turn right" or "turn left", etc.
Optionally, in some embodiments of the present application, for example, considering that different additional conditions may be set for the certificate photo in each shooting mode, the additional conditions may be used to determine whether the face in the picture meets the certificate photo conditions in the target shooting mode. The analyzing the face in the picture to judge whether the face in the picture meets the condition of the first configuration parameter further comprises:
(1) the method comprises the steps of judging whether wearing articles and/or facial texture features exist in the human face, wherein the wearing articles comprise hats, glasses and dresses. The facial texture features refer to cosmetic traces.
(2) If the face is judged to contain the wearing article, whether the wearing article meets the configuration condition of the wearing article defined in the first configuration parameter is judged according to the first configuration parameter. And if the makeup trace is judged to exist in the face, judging whether the makeup trace meets the configuration condition of the facial texture feature defined in the first configuration parameter or not according to the first configuration parameter.
For example, if the target shooting mode is an identity card, and the human face is identified to contain glasses, the configuration condition of the wearing object is considered not to be met; if the target shooting mode is a driving license and glasses are identified to be contained on the face, the configuration condition of the wearing object is considered to be met. Because the driving license requires that the myopic person must wear the glasses, the configuration parameters corresponding to the driving license are different from the configuration parameters corresponding to the identity license.
For another example, if the target shooting mode is an identity card, and the face is identified to contain makeup traces, the configuration condition of the facial texture features is considered not to be met; and if the target shooting mode is a social security card photo and the makeup trace lower than the makeup level is identified on the face, determining that the configuration condition of the facial texture features is met. Because the driving license requires that the myopic person must wear the glasses, the configuration parameters corresponding to the identity card license are different from the configuration parameters corresponding to the social security card license.
Technical features mentioned in any of the embodiments or implementation manners corresponding to fig. 1 to fig. 3 are also applicable to the embodiments corresponding to fig. 4 and fig. 5 in the present application, and subsequent similarities are not repeated.
A method of photographing a certificate photo in the present application is explained above, and an apparatus for performing the method of photographing a certificate photo is described below.
Fig. 4 shows a schematic structural diagram of a device 40 for taking a certificate photo, which can be applied to self-help taking the certificate photo. The device 40 in the embodiment of the present application is able to implement steps corresponding to the method of taking a certificate photograph performed in the embodiment corresponding to fig. 1 described above. The functions implemented by the apparatus 40 may be implemented by hardware, or by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions, which may be software and/or hardware. The apparatus 40 may include a control module 401, an acquisition module 402, a processing module 403, and a transceiver module 404, and the implementation of the functions of the control module 401, the acquisition module 402, the processing module 403, and the transceiver module 404 may refer to the operations performed in the embodiments corresponding to fig. 1 to fig. 3, which are not described herein again.
In some embodiments, the transceiver module 404 is configured to receive a shooting mode selection instruction triggered by a user based on a terminal, and send the shooting mode selection instruction to the control module 401;
the control module 401 is configured to start a shooting device of the terminal according to the instruction received from the transceiver module, and display multiple shooting modes in a function menu, where each shooting mode corresponds to a set of configuration parameters of image features;
the acquisition module 402 is configured to acquire a first configuration parameter based on a target shooting mode selected by a user, and acquire a picture shot by the shooting device according to the first configuration parameter;
the processing module 403 may be configured to recognize a face in a picture taken by the camera according to a face recognition algorithm, and position the face in the picture through a positioning frame; the positioning frame is used for positioning a detection object matched with a preset shooting object in the picture; analyzing the face in the picture, and judging whether the face in the picture meets the condition of the first configuration parameter; and carrying out standardization processing on the face image according to the first configuration parameter to generate a certificate photo.
In this embodiment of the application, after the control module 401 starts the shooting device, the processing module 403 calls a corresponding first configuration parameter according to the selected target shooting mode, corrects and adjusts the face in the first configuration parameter picture, and processes the face image shot by the camera to obtain the identification photo. It is thus clear that through this scheme of adoption, the user need not to go to adjust the facial image with the help of the software of shooing that the third party provided, also need not to utilize other picture editing tools to handle the people's face by oneself, just can realize that intelligent and automatic formation satisfies the certificate that the user expects and the certificate shines the condition simultaneously and shine, can improve the generation efficiency that the certificate shines, uses the threshold low and simple operation, can promote user experience.
In one embodiment, the processing module 403 is specifically configured to:
switching a shooting mode of a shooting device to the target shooting mode according to the instruction, and setting configuration parameters of the shooting device as the first configuration parameters by default, so that the shooting device collects pictures shot by the shooting device according to the first configuration parameters;
starting a shooting function of the shooting device through the control module 401 to obtain a picture to be shot, which is obtained by the shooting device;
adjusting the picture to be shot according to the first configuration parameters so that the shooting environment of the shooting device conforms to each parameter in the first configuration parameters;
when the shooting environment of the shooting device is detected to accord with various parameters in the first configuration parameters, shooting a picture to be shot in the shooting device through the acquisition module 402.
In one embodiment, after the position of the human face in the picture is located, the processing module 403 is further configured to:
comparing the face in the picture with a preset face image, and if the face in the picture is not complete through comparison, detecting the coordinates of each pixel point on the face contour in the picture and the missing part of the face;
calculating the coordinate difference between the coordinates of each pixel point on the face contour in the picture and the picture;
determining a moving direction according to the coordinate difference between the coordinates of the missing part of the human face and the coordinates of each pixel point on the contour of the human face in the picture and the picture, wherein the moving direction comprises a direction in which a terminal is to move or a direction in which the human face is to move;
sending first prompt information indicating a moving direction through the transceiver module 404, wherein the first prompt information is used for indicating a user to move a face in a picture until the face in the picture is completely displayed; or the first prompt information is used for indicating the user to move relative to the terminal until the face in the picture is completely displayed;
and detecting the face in the picture in real time, matching the face detected in real time with a preset face image, and sending out second prompt information after detecting that the face in the picture is completely displayed.
In one embodiment, the condition of the first configuration parameter is a frontal condition; the processing module 403 is specifically configured to:
and detecting the face in the picture through the face recognition algorithm, and recognizing and positioning key features of the upper face in the face. The key features of the face comprise corresponding feature points of eyes, cheekbones, a nose, a mouth, a chin and the like;
calculating the intervals among the characteristic points and the proportional relation among the intervals;
judging whether the face angle meets the face righting condition or not according to the space between the feature points and the proportional relation between the spaces;
and if the distances among the characteristic points and the proportional relation among the distances are determined to be in a normal range, the human face is considered to be in accordance with the face-righting condition. And if the proportional relation between the distances among part or all of the feature points and the distances is determined not to be in the normal range, determining that the face angle does not accord with the face righting condition.
In one embodiment, the processing module 403 is further configured to:
judging whether wearing articles and/or facial texture features exist in the face, wherein the wearing articles can comprise hats, glasses and dresses, and the facial texture features refer to beauty marks;
if the face is judged to contain the wearing article, whether the wearing article meets the configuration condition of the wearing article defined in the first configuration parameter is judged according to the first configuration parameter. And if the makeup trace is judged to exist in the face, judging whether the makeup trace meets the configuration condition of the facial texture feature defined in the first configuration parameter or not according to the first configuration parameter.
In one embodiment, the processing module 403 is specifically configured to:
cutting the face image according to the size set in the first configuration parameter to obtain an image with a proper size;
adjusting the background color of the face image according to the background color set in the first configuration parameter so that the face image meets the requirement of the background color;
and compressing the face image according to the pixels set in the first configuration parameters to obtain an image with a preset resolution, and taking the image with the preset resolution as the identification photo.
It should be noted that the physical device corresponding to the transceiver module 304 shown in fig. 4 is the transceiver shown in fig. 5, and the transceiver can implement part or all of the functions of the transceiver module 404, or implement the same or similar functions as the transceiver module 401.
The physical device corresponding to the processing module 403 shown in fig. 4 is a processor shown in fig. 5, and the processor can implement part or all of the functions of the processing module 403, or implement the same or similar functions as the processing module 403.
The apparatus 50 in the embodiment of the present application is described above from the perspective of a modular functional entity, and a computer device is described below from the perspective of hardware, as shown in fig. 5, and includes: a processor, a memory, a transceiver (which may also be an input-output unit, not identified in fig. 5), and a computer program stored in the memory and executable on the processor. For example, the computer program may be a program corresponding to the method for capturing a certificate photo in the embodiment corresponding to fig. 1. For example, when the computer device implements the functions of the apparatus 40 shown in fig. 4, the processor executes the computer program to implement the steps of the method for capturing a certificate photo performed by the apparatus 40 in the embodiment corresponding to fig. 4; alternatively, the processor implements the functions of the modules in the apparatus 40 according to the embodiment corresponding to fig. 4 when executing the computer program. For another example, the computer program may be a program corresponding to the method for capturing a certificate photo in the embodiment corresponding to fig. 1.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like which is the control center for the computer device and which connects the various parts of the overall computer device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the computer device by running or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory 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 required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, video data, etc.) created according to the use of the cellular phone, etc. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The transceivers may also be replaced by receivers and transmitters, which may be the same or different physical entities. When the same physical entity, may be collectively referred to as a transceiver. The transceiver may be an input-output unit.
The memory may be integrated in the processor or may be provided separately from the processor.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM), and includes several instructions for enabling a terminal (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
The embodiments of the present application have been described above with reference to the drawings, but the present application is not limited to the above-mentioned embodiments, which are only illustrative and not restrictive, and those skilled in the art can make many changes and modifications without departing from the spirit and scope of the present application and the protection scope of the claims, and all changes and modifications that come within the meaning and range of equivalency of the claims are to be embraced within their scope.
Claims (10)
1. A method of capturing a certificate photo, the method comprising:
after a shooting mode selection instruction triggered by a user based on a terminal is received, starting a shooting device of the terminal according to the shooting mode selection instruction, and displaying a plurality of shooting modes in a function menu, wherein each shooting mode corresponds to configuration parameters of a group of image features;
acquiring a first configuration parameter based on a target shooting mode selected by a user, and acquiring a picture shot by the shooting device according to the first configuration parameter;
recognizing the face in the picture according to a face recognition algorithm, and positioning the position of the face in the picture through a positioning frame; the positioning frame is used for positioning a detection object matched with a preset shooting object in the picture;
analyzing the face in the picture, and judging whether the face in the picture meets the condition of the first configuration parameter;
and carrying out standardization processing on the face image according to the first configuration parameter to generate a certificate photo.
2. The method according to claim 1, wherein the acquiring the picture shot by the shooting device according to the first configuration parameter corresponding to the target shooting mode comprises:
switching a shooting mode of a shooting device to the target shooting mode according to the instruction, and setting configuration parameters of the shooting device as the first configuration parameters by default, so that the shooting device collects pictures shot by the shooting device according to the first configuration parameters;
starting a shooting function of the shooting device to obtain a picture to be shot, which is obtained by the shooting device;
adjusting the picture to be shot according to the first configuration parameters so that the shooting environment of the shooting device conforms to each parameter in the first configuration parameters;
and when the shooting environment of the shooting device is detected to accord with various parameters in the first configuration parameters, shooting a picture to be shot in the shooting device.
3. The method of claim 1, wherein after said locating the position of the face in the frame, the method further comprises:
comparing the face in the picture with a preset face image, and if the face in the picture is not complete through comparison, detecting the coordinates of each pixel point on the face contour in the picture and the missing part of the face;
calculating the coordinate difference between the coordinates of each pixel point on the face contour in the picture and the picture;
determining a moving direction according to the coordinate difference between the coordinates of the missing part of the human face and the coordinates of each pixel point on the contour of the human face in the picture and the picture, wherein the moving direction comprises a direction in which a terminal is to move or a direction in which the human face is to move;
sending first prompt information for indicating a moving direction, wherein the first prompt information is used for indicating a user to move a face in a picture until the face in the picture is completely displayed; or the first prompt information is used for indicating the user to move relative to the terminal until the face in the picture is completely displayed;
and detecting the face in the picture in real time, matching the face detected in real time with a preset face image, and sending out second prompt information after detecting that the face in the picture is completely displayed.
4. A method according to any of claims 1-3, wherein the condition of the first configuration parameter is a frontal face condition; the analyzing the face in the picture to judge whether the face in the picture meets the condition of the first configuration parameter includes:
detecting the face in the picture through the face recognition algorithm, and recognizing and positioning key features of the face, wherein the key features of the face comprise corresponding feature points of eyes, cheekbones, a nose, a mouth, a chin and the like;
calculating the intervals among the characteristic points and the proportional relation among the intervals;
judging whether the face angle meets the face righting condition or not according to the space between the feature points and the proportional relation between the spaces;
if the distances among the characteristic points and the proportional relation among the distances are determined to be in a normal range, the human face is considered to be in accordance with the face-righting condition; and if the proportional relation between the distances among part or all of the feature points and the distances is determined not to be in the normal range, determining that the face angle does not accord with the face righting condition.
5. The method according to claim 4, wherein the analyzing the face in the frame to determine whether the face in the frame meets the condition of the first configuration parameter further comprises:
judging whether wearing articles and/or facial texture features exist in the face, wherein the wearing articles can comprise hats, glasses and dresses, and the facial texture features refer to beauty marks;
if the face is judged to contain the wearing article, judging whether the wearing article meets the configuration condition of the wearing article defined in the first configuration parameter or not according to the first configuration parameter; and if the makeup trace is judged to exist in the face, judging whether the makeup trace meets the configuration condition of the facial texture feature defined in the first configuration parameter or not according to the first configuration parameter.
6. The method of claim 1, wherein the normalizing the face image according to the first configuration parameter to generate a certificate photo comprises:
cutting the face image according to the size set in the first configuration parameter to obtain an image with a proper size;
adjusting the background color of the face image according to the background color set in the first configuration parameter so that the face image meets the requirement of the background color;
and compressing the face image according to the pixels set in the first configuration parameters to obtain an image with a preset resolution, and taking the image with the preset resolution as the identification photo.
7. An apparatus for capturing a photographic identification, the apparatus comprising:
the terminal comprises a receiving and sending module, a control module and a processing module, wherein the receiving and sending module is used for receiving a shooting mode selection instruction triggered by a user based on the terminal and sending the shooting mode selection instruction to the control module;
the control module is used for starting a shooting device of the terminal according to the instruction received from the transceiver module and displaying a plurality of shooting modes in a function menu, wherein each shooting mode corresponds to a group of configuration parameters of image features;
the acquisition module is used for acquiring a first configuration parameter based on a target shooting mode selected by a user and acquiring a picture shot by the shooting device according to the first configuration parameter;
the processing module is used for identifying the face in the picture shot by the camera according to a face identification algorithm and positioning the position of the face in the picture through a positioning frame; the positioning frame is used for positioning a detection object matched with a preset shooting object in the picture; analyzing the face in the picture, and judging whether the face in the picture meets the condition of the first configuration parameter; and carrying out standardization processing on the face image according to the first configuration parameter to generate a certificate photo.
8. The apparatus of claim 7, wherein the processing module is specifically configured to:
switching a shooting mode of a shooting device to the target shooting mode according to the instruction, and setting configuration parameters of the shooting device as the first configuration parameters by default, so that the shooting device collects pictures shot by the shooting device according to the first configuration parameters;
starting a shooting function of the shooting device through the control module to obtain a picture to be shot, which is obtained by the shooting device;
adjusting the picture to be shot according to the first configuration parameters so that the shooting environment of the shooting device conforms to each parameter in the first configuration parameters;
and when the shooting environment of the shooting device is detected to accord with various parameters in the first configuration parameters, shooting a picture to be shot in the shooting device.
9. A computer device, the device comprising:
at least one processor, memory, and transceiver;
wherein the memory is configured to store program code and the processor is configured to invoke the program code stored in the memory to perform the method of any of claims 1-6.
10. A computer storage medium characterized in that it comprises instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1-6.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN201910751640.9A CN110602379A (en) | 2019-08-15 | 2019-08-15 | Method, device and equipment for shooting certificate photo and storage medium |
| PCT/CN2020/104733 WO2021027537A1 (en) | 2019-08-15 | 2020-07-27 | Method and apparatus for taking identification photo, device and storage medium |
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| CN201910751640.9A CN110602379A (en) | 2019-08-15 | 2019-08-15 | Method, device and equipment for shooting certificate photo and storage medium |
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| WO (1) | WO2021027537A1 (en) |
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| CN114511915A (en) * | 2022-04-19 | 2022-05-17 | 南昌大学 | Credible certificate photo acquisition system and method based on mobile client |
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