CN112101296A - Face registration method, face verification method, device and system - Google Patents
Face registration method, face verification method, device and system Download PDFInfo
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Abstract
The embodiment of the application provides a face registration method, a face verification device and a face registration system, wherein in the face registration method, after a first face registration image is obtained, face beautifying detection is carried out on the first face registration image, whether the face in the first face registration image is subjected to face beautifying processing is judged, if the face in the first face registration image is subjected to face beautifying processing, the face is subjected to face beautifying removing processing to obtain a second face registration image comprising the face subjected to face beautifying removing processing, face feature extraction is respectively carried out on the first face registration image and the second face registration image, and the extracted face features are stored in a face library. When the first face registration image subjected to the face beautifying processing is subjected to face registration, the face database stores the face features of the face beautification and also stores the face features of the face beautification removal, and the face database can provide the face features of the face beautification removal, so that the accuracy of face verification is improved.
Description
Technical Field
The present application relates to the field of intelligent detection technologies, and in particular, to a face registration method, a face verification method, an apparatus, and a system.
Background
With the continuous development of intelligent detection technology, people's lives and works are increasingly kept away from electronic equipment (such as mobile phones, tablet computers, access control equipment and the like), and especially, the application of face verification technology in the electronic equipment, such as face unlocking, face payment, automatic release of the access control equipment and the like, brings great convenience to people's lives and works.
At present, a face verification method mainly comprises the following steps: the method comprises the steps of obtaining a face image to be verified, extracting face features of the face image to be verified, matching the extracted face features with face features stored in a face library, determining that the face image to be verified passes verification if the matched face features exist in the face library, and further performing unlocking, payment, access control equipment release and other operations. The face library is obtained by face registration in advance, the face registration refers to a process of storing face features in a face registration image into the face library, the face registration image refers to a personal identification photo, a life photo, a big photo and the like of a user, and the face registration image is often provided by the user.
However, the standards of the face registration images provided by the users cannot be unified, some face registration images provided by the users are subjected to face beautification, and the face feature after the face beautification is greatly different from the actual face feature, which results in lower accuracy of face verification.
Disclosure of Invention
The embodiment of the application aims to provide a face registration method, a face verification device and a face verification system, so as to improve the accuracy of face verification. The specific technical scheme is as follows:
in a first aspect, an embodiment of the present application provides a face registration method, where the method includes:
acquiring a first face registration image;
carrying out face beautifying detection on the first face registration image, and judging whether the face in the first face registration image is subjected to face beautifying processing or not;
if so, performing beauty removal processing on the face to obtain a second face registration image comprising the face subjected to the beauty removal processing;
and respectively extracting the face features of the first face registration image and the second face registration image, and storing the extracted face features into a face library.
Optionally, the step of performing face beautification detection on the first face registration image, and determining whether the face in the first face registration image is subjected to face beautification processing includes:
and inputting the first face registration image into a face liquefaction detector, and performing optical flow field prediction on the first face registration image by using the face liquefaction detector to obtain a detection result of whether the face in the first face registration image is subjected to face beautifying processing.
Optionally, the step of performing a face beautification removal process on the face to obtain a second face registration image including the face beautification-removed face includes:
inputting a first face registration image into a pre-trained face beautification removal model, and performing beautification removal processing on a face in the first face registration image by using the face beautification removal model to obtain a second face registration image comprising the face subjected to beautification removal processing, wherein the face beautification removal model is a deep network model obtained by taking the face image subjected to beautification processing as a training sample and taking the face image not subjected to beautification processing as a training target.
In a second aspect, an embodiment of the present application provides a face verification method, where the method includes:
acquiring a face image to be verified;
extracting the face features of the face image to be verified;
matching the extracted face features with each face feature stored in a face library, wherein the face library at least stores the face features obtained by extracting the face features of a first face registration image, and if the first face registration image is subjected to face beautifying detection, determining that the first face registration image is subjected to face beautifying processing, the face library also stores the face features obtained by extracting the face features of a second face registration image, and the second face registration image is obtained by performing face beautifying removal processing on the first face registration image;
and if the face characteristics matched with the face characteristics obtained by extracting the face characteristics of the face image to be verified exist in the face library, determining that the face image to be verified passes the verification.
Optionally, the step of obtaining the face image to be verified includes:
receiving a face image to be verified, which is acquired by a face acquisition unit on the access control equipment;
if the face features matched with the extracted face features exist in the face library, after the step of determining that the face image to be verified passes the verification, the method further comprises the following steps:
and sending a clearance notification to the entrance guard equipment to notify the entrance guard equipment of clearance.
Optionally, the face beauty detection is performed on the first face registration image in the following manner:
and inputting the first face registration image into a face liquefaction detector, and performing optical flow field prediction on the first face registration image by using the face liquefaction detector to obtain a detection result of whether the face in the first face registration image is subjected to face beautifying processing.
Optionally, the first face image is subjected to face beautification and removal processing in the following manner, so as to obtain a second face registration image:
inputting a first face registration image into a pre-trained face beautification removal model, and performing beautification removal processing on a face in the first face registration image by using the face beautification removal model to obtain a second face registration image comprising the face subjected to beautification removal processing, wherein the face beautification removal model is a deep network model obtained by taking the face image subjected to beautification processing as a training sample and taking the face image not subjected to beautification processing as a training target.
In a third aspect, an embodiment of the present application provides a face registration apparatus, where the apparatus includes:
the acquisition module is used for acquiring a first face registration image;
the detection module is used for carrying out face beautifying detection on the first face registration image and judging whether the face in the first face registration image is subjected to face beautifying processing or not;
the face beautifying and removing module is used for performing face beautifying and removing processing on the face if the detection result of the detection module is that the face in the first face registration image is subjected to face beautifying processing, so that a second face registration image comprising the face subjected to face beautifying and removing processing is obtained;
and the feature extraction module is used for respectively extracting the face features of the first face registration image and the second face registration image and storing the extracted face features into a face library.
In a fourth aspect, an embodiment of the present application provides a face verification apparatus, where the apparatus includes:
the acquisition module is used for acquiring a face image to be verified;
the characteristic extraction module is used for extracting the human face characteristics of the human face image to be verified;
the matching module is used for matching the extracted face features with each face feature stored in a face library, wherein the face library is obtained based on the face registration method provided by the first aspect;
and the verification module is used for determining that the face image to be verified passes the verification if the face characteristics matched with the extracted face characteristics exist in the face library.
In a fifth aspect, embodiments of the present application provide an electronic device, including a processor and a machine-readable storage medium storing machine-executable instructions executable by the processor, the processor being caused by the machine-executable instructions to: the method provided by the first aspect of the application is realized.
In a sixth aspect, an embodiment of the present application provides a machine-readable storage medium, which stores machine-executable instructions and, when being invoked and executed by a processor, implements the method provided in the first aspect of the embodiment of the present application.
In a seventh aspect, embodiments of the present application further provide a computer program product including instructions, which when executed on a computer, cause the computer to execute a method for implementing the first aspect of the embodiments of the present application.
In an eighth aspect, embodiments of the present application provide an electronic device, including a processor and a machine-readable storage medium storing machine-executable instructions executable by the processor, the processor being caused by the machine-executable instructions to: the method provided by the second aspect of the application is realized.
In a ninth aspect, embodiments of the present application provide a machine-readable storage medium storing machine-executable instructions, which when invoked and executed by a processor, implement the method provided by the second aspect of the embodiments of the present application.
In a tenth aspect, embodiments of the present application further provide a computer program product containing instructions, which when executed on a computer, cause the computer to execute a method provided by the second aspect of the embodiments of the present application.
In an eleventh aspect, an embodiment of the present application provides a face verification system, including a face acquisition device and an electronic device;
the face acquisition equipment is used for acquiring a face image to be verified and sending the face image to be verified to the electronic equipment;
the electronic equipment is used for receiving the face image to be verified sent by the face acquisition equipment and extracting the face features of the face image to be verified; matching the extracted face features with each face feature stored in a face library, wherein the face library at least stores the face features obtained by extracting the face features of a first face registration image, and if the first face registration image is subjected to face beautifying detection, determining that the first face registration image is subjected to face beautifying processing, the face library also stores the face features obtained by extracting the face features of a second face registration image, and the second face registration image is obtained by performing face beautifying removal processing on the first face registration image; and if the face characteristics matched with the face characteristics obtained by extracting the face characteristics of the face image to be verified exist in the face library, determining that the face image to be verified passes the verification.
The embodiment of the application provides a face registration method, a face verification device and a face registration system, wherein in the face registration method, after a first face registration image is obtained, face beautifying detection is carried out on the first face registration image, whether the face in the first face registration image is subjected to face beautifying processing is judged, if the face in the first face registration image is subjected to face beautifying processing, the face is subjected to face beautifying removing processing to obtain a second face registration image comprising the face subjected to face beautifying removing processing, face feature extraction is respectively carried out on the first face registration image and the second face registration image, and the extracted face features are stored in a face library.
Therefore, if the first face registration image is the face-beautified image, the face-beautified face in the image is subjected to face-beautification removal processing to obtain a second face registration image, that is, the face in the first face registration image is the face-beautified face, and the face in the second face registration image is the face-beautified face, and the extracted face features include both the face-beautified face features and the face-beautified face features.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other embodiments can be obtained by using the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a face registration method according to an embodiment of the present application;
fig. 2 is another schematic flow chart of a face registration method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a face verification method according to an embodiment of the present application;
fig. 4 is another schematic flow chart of a face verification method according to an embodiment of the present application;
fig. 5 is a schematic flow chart of a face registration method according to an embodiment of the present application;
fig. 6 is a schematic flow chart of a method for face verification according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a face registration apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a face verification apparatus according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of another electronic device according to an embodiment of the present application;
fig. 11 is a schematic structural diagram of a face verification system according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In order to improve the accuracy of face verification, the embodiment of the application provides a face registration method, a face verification device and a face verification system. First, a face registration method and a face verification method provided in the embodiments of the present application are described below. The face registration method and the face verification method provided by the embodiment of the application can be applied to intelligent devices such as mobile phones, tablet computers and access control devices, and can also be applied to background servers, which are not specifically limited and are hereinafter collectively referred to as electronic devices. The face registration method and the face verification method provided by the embodiment of the application can be realized by at least one of software, hardware circuit and logic circuit arranged in the electronic equipment.
As shown in fig. 1, a flow of a face registration method provided in the embodiment of the present application may include the following steps.
S101, a first face registration image is obtained.
And S102, carrying out face beautifying detection on the first face registration image, and judging whether the face in the first face registration image is subjected to face beautifying processing.
And S103, if the face in the first face registration image is subjected to face beautification, performing face beautification removal processing on the face to obtain a second face registration image comprising the face beautification-removed face.
And S104, respectively extracting the face features of the first face registration image and the second face registration image, and storing the extracted face features into a face library.
By applying the embodiment of the application, if the first face registration image is the image after the face beautification processing, the face beautification removal processing is performed on the face beautified in the image to obtain the second face registration image, that is, the face in the first face registration image is the face after the face beautification processing, and the face in the second face registration image is the face after the face beautification removal processing, the extracted face features include both the face features of the face beautification and the face features of the face beautification removal, so that when the face is registered on the first face registration image after the face beautification processing, the face features of the face beautification and the face features of the face removal are stored in the face library, that is, the face features in the face library are expanded, the face features of the face removal are provided, and the accuracy of face verification is improved.
The first face registration image refers to personal identification photographs (such as identity cards and working certificates), living photographs, large-head photographs and the like provided by a user when the user performs face registration, because the first face registration image is provided by the user independently, formats and standards of the first face registration images provided by different users cannot be unified, the first face registration image provided by some users is not subjected to beautifying processing, the first face registration image provided by some users is subjected to beautifying processing, the beautifying processing refers to that the user adjusts facial features, facial contour and the like of the face by using a retouching software, and the first face registration images subjected to the beautifying processing easily change the identity of the user and influence the accuracy of face verification.
In the embodiment of the application, after the first face registration image is obtained, face beautifying detection is performed on the first face registration image, and whether the face in the first face registration image is subjected to face beautifying processing is judged. The facial beautification processing is to adjust the shape of five sense organs, the face contour and the like of the face, and the adjustment can change the optical flow field of the corresponding position in the image, so that the face beautification detection can be performed on the first face registration image in the optical flow field prediction mode, if the optical flow field of some positions in the first face registration image is obviously changed, the positions are subjected to operations such as image stretching/distortion, and the like, that is, the face in the first face registration image can be determined to be subjected to the facial beautification processing.
Optionally, S102 may specifically be: and inputting the first face registration image into a face liquefaction detector, and performing optical flow field prediction on the first face registration image by using the face liquefaction detector to obtain a detection result of whether the face in the first face registration image is subjected to face beautifying processing.
In an implementation manner of the embodiment of the present application, a face liquefaction detector (FALdetector) may be used to perform optical flow field prediction, and the face liquefaction detector (FALdetector) is a detection tool for face liquefaction and beauty processing, and is capable of detecting deformation of facial features and adjustment of facial contours in a face image. Specifically, the face beauty detection method using the face liquefaction detector is as follows: and inputting the first face registration image into a face liquefaction detector, wherein the face liquefaction detector can predict an optical flow field of the first face registration image and indicate the stretched/distorted area and degree of the image, so that whether the face in the first face registration image is subjected to face beautifying processing or not can be judged. Of course, in a specific implementation, in addition to the optical flow field prediction performed by the face liquefaction detector to determine whether the face in the first face registration image is subjected to the beauty treatment, other optical flow field prediction methods may also be used to perform the optical flow field prediction on the first face registration image, and the optical flow field prediction result is used to determine whether the face in the first face registration image is subjected to the beauty treatment.
In another implementation manner of the embodiment of the application, a two-classification image type recognition model can be obtained by training in advance based on a large number of face sample images subjected to facial beautification and a large number of face sample images not subjected to facial beautification, the model is a deep neural network model, and the output of the model is two types of images subjected to facial beautification and images not subjected to facial beautification. In this way, the first face registration image is input to the model, which can directly output the result of recognition whether the first face registration image is a beauty-treated image or an image that has not been beauty-treated. The training process of the image type recognition model is the same as that of the traditional two-classification deep neural network model, and is not repeated here.
Besides the above manners of face beauty detection, whether the face is subjected to face beauty treatment can be detected through manners of face feature recognition, face feature recognition and normal face feature comparison, and the like, and manners of detecting whether the face is subjected to face beauty treatment belong to the protection scope of the application, and are not repeated here.
If the face in the first face registration image is detected to be subjected to face beautification processing, in order to improve the accuracy of face verification, the face beautification removal processing needs to be performed on the face to obtain a second face registration image comprising the face beautification-removed face, and the face beautification-removed face is closer to a normal face.
Optionally, S103 may specifically be: inputting a first face registration image into a pre-trained face beautification removal model, and performing beautification removal processing on a face in the first face registration image by using the face beautification removal model to obtain a second face registration image comprising the face subjected to beautification removal processing, wherein the face beautification removal model is a deep network model obtained by taking the face image subjected to beautification processing as a training sample and taking the face image not subjected to beautification processing as a training target.
In an implementation manner of the embodiment of the application, a pre-trained face beautification removal model may be used to perform beautification removal processing on a first face registration image, where the face beautification removal model is a deep network model obtained by training a face image subjected to beautification processing as a training sample and a face image not subjected to beautification processing as a training target, and the model may adopt neural network frames such as Pix2 Pix.
Specifically, the training process of the face beautification removal model comprises the following steps: inputting the facial image subjected to the facial treatment into an initial network model, outputting a facial image by the network model, comparing the facial image output by the network model with a facial image which is not subjected to the facial treatment to obtain difference information, adjusting parameters of the initial network model based on the difference information until the iteration times of the initial network model reach preset times or the difference information is less than a preset threshold value, and stopping training to obtain a facial beautification removal model. The face image without the face beautifying processing and the face image after the face beautifying processing have a corresponding relationship, and in general, the face image without the face beautifying processing can be obtained, and then the face image is subjected to the face beautifying processing (including the face facial features shape modification, the face outline adjustment and the like) through the retouching software, so that the corresponding face image after the face beautifying processing is obtained.
In another implementation manner of the embodiment of the application, because the position and the degree of the facial beauty are detected during the facial beauty detection, the facial beauty removing processing can be performed on the eyes in a manner of doubling the size of the eyes according to the position and the degree of the facial beauty according to a corresponding inverse processing manner, for example, the facial beauty processing is performed on the eyes twice, and then the facial beauty removing processing on the face can be realized.
Except for the above-mentioned manner of removing facial beautification, other manners capable of implementing facial beautification removal processing all belong to the protection scope of the present application, and are not described in detail herein.
The face subjected to the beauty removing process may be a plain face or a makeup face, which is not limited herein and is specifically related to a beauty removing strategy selected by the beauty removing process.
After the second face registration image is obtained, face features of the first face registration image and the second face registration image are extracted respectively, and the extracted face features are stored in a face library, namely, when the face registration is performed on the first face registration image subjected to face beautifying processing, the face library stores both the face features subjected to face beautifying and the face features subjected to face beautifying removal, namely, the face features in the face library are expanded, the face features subjected to face beautifying removal are provided, and therefore the accuracy of face verification is improved.
The face feature extraction mode can adopt a deep neural network-based feature extraction mode, and the first face registration image and the second face registration image are respectively input into the deep neural network, so that respective face features can be extracted. Or a feature extraction mode based on pixels can be adopted, the face regions in the first face registration image and the second face registration image are identified based on the pixels, and the pixel features of the face regions are extracted to serve as the face features. Of course, other ways of implementing face feature extraction also belong to the protection scope of the embodiments of the present application, and are not described herein any more.
Based on the embodiment shown in fig. 1, another flow of the face registration method provided in the embodiment of the present application, as shown in fig. 2, may include the following steps.
S201, a first face registration image is obtained.
And S202, carrying out face beautifying detection on the first face registration image, judging whether the face in the first face registration image is subjected to face beautifying processing, if so, executing S203 to S204, and otherwise, executing S205.
S203, the face is subjected to the face beautification removing treatment, and a second face registration image comprising the face beautification removed face is obtained.
And S204, respectively extracting the face features of the first face registration image and the second face registration image, and storing the extracted face features into a face library.
And S205, extracting the face features of the first face registration image, and storing the extracted face features into a face library.
In an implementation manner of the embodiment of the application, if the face in the first face registration image is not subjected to the face beautifying processing, it is indicated that the face in the first face registration image is a normal face, the face feature extraction may be directly performed on the first face registration image, and the extracted face feature is stored in the face library.
In another implementation manner of the embodiment of the application, in order to cope with a more complicated situation, a face library is expanded, if a face in a first face registration image is not subjected to a facial beautification process, some special processes may be performed on the first face registration image, for example, a face in the first face registration image is subjected to a makeup process, a facial beautification process, and the like, to obtain a new face registration image, face feature extraction is performed on the first face registration image and the new face registration image, and the extracted face features are stored in the face library. The conventional treatment method may be adopted for the makeup treatment, the beauty treatment, and the like, and is not described in detail herein.
As shown in fig. 3, a flow of a face verification method provided in the embodiment of the present application may include the following steps.
S301, obtaining a face image to be verified.
And S302, extracting the face features of the face image to be verified.
And S303, matching the extracted face features with each face feature stored in a face library.
The face library at least stores face features obtained by extracting the face features of a first face registration image, and if the face beautifying detection is carried out on the first face registration image, and the first face registration image is determined to be subjected to the beautifying processing, the face library also stores face features obtained by extracting the face features of a second face registration image, and the second face registration image is obtained by carrying out the beautifying removal processing on the first face registration image.
For the generation manner of the face library, reference may be made to the related description of fig. 1 and fig. 2, which is not described herein again.
When a plurality of face features are stored in the face library, the extracted face features may be sequentially matched with each face feature stored in the face library, or the extracted face features may be respectively matched with each face feature stored in the face library in parallel. And if the extracted face features are sequentially matched with each face feature stored in the face library, and the face features matched with the face features obtained by extracting the face features from the face image to be verified are determined to exist in the matching process, the matching can be continuously performed, and the matching can also be stopped.
S304, if the face characteristics matched with the face characteristics obtained by extracting the face characteristics of the face image to be verified exist in the face library, determining that the face image to be verified passes verification.
By applying the embodiment of the application, when the face registration is carried out on the first face registration image which is subjected to the face beautifying processing, the face characteristics of the face beautifying are stored in the face library, and the face characteristics of the face beautifying removal are also stored, namely, the face characteristics in the face library are expanded, and the face characteristics of the face beautifying removal are provided, namely, the face characteristics in the face library are more perfect, and the face characteristics of the face beautifying removal which is more beneficial to face verification are included, so that when the face verification is carried out, the face can be more accurately identified, and the accuracy of the face verification is improved.
The face image to be verified is a face image acquired in real time, and can be a face image which is shot in real time when a face appears in a shooting area by a face acquisition unit on a mobile phone, a tablet personal computer or an access control device.
After the face image to be verified is obtained, face feature extraction is carried out on the face image to be verified. The specific face feature extraction mode can adopt a deep neural network-based feature extraction mode, and the face image to be verified is input into the deep neural network, so that the face features can be extracted; or a feature extraction mode based on pixels can be adopted, a face area in the face image to be verified is identified based on the pixels, and the pixel features of the face area are extracted to serve as the face features. Of course, other ways of implementing face feature extraction also belong to the protection scope of the embodiments of the present application, and are not described herein any more.
After the face features of the face image to be verified are extracted, the extracted face features are matched with each face feature stored in a face library, that is, the extracted face features are compared with the face features stored in the face library one by one, the face features stored in the face library are obtained by face registration according to the method of the embodiment shown in fig. 1 or fig. 2, if the similarity reaches a certain degree (is greater than a certain threshold value), the face features are considered to be successfully matched, and once the face features successfully matched in the face library (whether the face features subjected to beauty treatment or the face features not subjected to beauty treatment) exist, the face image to be verified can be determined to pass verification.
Based on the embodiment shown in fig. 3, another flow of the face verification method provided in the embodiment of the present application, as shown in fig. 4, may include the following steps.
S401, receiving a face image to be verified, which is acquired by a face acquisition unit on the access control equipment.
S402, extracting the face features of the face image to be verified.
And S403, matching the extracted face features with each face feature stored in a face library.
The face library at least stores face features obtained by extracting the face features of a first face registration image, and if the face beautifying detection is carried out on the first face registration image, and the first face registration image is determined to be subjected to the beautifying processing, the face library also stores face features obtained by extracting the face features of a second face registration image, and the second face registration image is obtained by carrying out the beautifying removal processing on the first face registration image.
For the generation manner of the face library, reference may be made to the related description of fig. 1 and fig. 2, which is not described herein again. .
S404, if the face characteristics obtained by extracting the face characteristics from the face image to be verified exist in the face library, determining that the face image to be verified passes the verification.
S405, a clearance notification is sent to the entrance guard equipment to notify the entrance guard equipment of clearance.
In a specific application of the embodiment of the application, the application scene is a face verification scene of an access control device of a community/campus, an acquired face image to be verified is acquired and sent by a face acquisition unit on the access control device, correspondingly, after the face image to be verified is determined to pass verification, a release notification can be sent to the access control device, the release notification specifically can be a data message, and after receiving the release notification, the access control device knows that release operation is to be performed, and can control a series of release processing such as rod lifting and door opening.
In summary, the application of the face verification provided by the embodiment of the present application mainly includes two parts, namely, face registration and face verification. The flow of face registration is shown in fig. 5, and includes the following steps:
s501, acquiring a first certificate photo uploaded by a user.
The operation of the step generally needs a user to provide an electronic version of the certificate photo or the certificate photo is automatically operated and completed by the user on an application program, most of the certificate photos provided or uploaded by the user are subjected to facial beautification processing through various retouching software, and the facial beautification processing mainly relates to the adjustment of five sense organs and facial shapes; the uploaded certificate photo is marked as a first certificate photo.
S502, performing beauty detection on the first certificate photo.
The detection that face liquefaction beauty treatment was handled is mainly aimed at in this application embodiment, including face facial features deformation and face profile adjustment, adopts face liquefaction detector, inputs first certificate photo for face liquefaction detector, and face liquefaction detector can predict the optical flow field, instructs first certificate photo by the region and the degree of stretching/distortion to this judges face and whether handles through beauty.
And S503, if the beauty detection judges that the beauty treatment exists, performing the beauty removal treatment, and recording the treated certificate photo as a second certificate photo.
In the embodiment of the application, the face beautification removal is realized mainly based on generation of a countermeasure network, a Pix2Pix frame is adopted, and a face liquefying tool of a retouching software is used for generating a face image subjected to face beautification processing, and the face image relates to modification of the shape of five sense organs of a face (including eyes, a nose and a mouth) and adjustment of the outline of the face. And constructing pairing training data by using the generated facial image subjected to the facial treatment and the original facial image which is not subjected to the facial treatment, and then training a network model. The model is used for carrying out liquefaction reduction processing on the input first certificate photo, and face beautifying removal is achieved.
S504, face registration is carried out on the first certificate photo and the second certificate photo respectively.
The face features of the first certificate photo and the second certificate photo are extracted and stored in a face library respectively, and the two face features can be marked as different registered versions of the same identity in the face library.
The flow of face verification is shown in fig. 6, and includes the following steps:
s601, a face image is collected by a face collecting unit on the access control equipment.
The embodiment of the application is mainly applied to access control equipment manufacturers, the face acquisition unit is a camera on the access control equipment, and the acquired face image does not have any beautifying processing.
And S602, extracting the face features.
In the embodiment of the application, the face recognition model can be used for extracting the face features of the collected face image.
And S603, comparing the faces.
The comparison process is to compare the extracted face features with the face features of the first identification photo and the face features of the second identification photo of the same person, and if the similarity between the face features of one version and the extracted face features meets the requirement (exceeds a preset threshold), the face verification is considered to be passed.
Corresponding to the foregoing method embodiment, an embodiment of the present application provides a face registration apparatus, and as shown in fig. 7, the apparatus may include:
an obtaining module 710, configured to obtain a first face registration image;
the detection module 720 is configured to perform face beautifying detection on the first face registration image, and determine whether a face in the first face registration image is subjected to face beautifying processing;
a face beautification removal module 730, configured to, if the detection result of the detection module 720 is that the face in the first face registration image is subjected to face beautification processing, perform face beautification removal processing on the face to obtain a second face registration image including the face subjected to face beautification removal processing;
the feature extraction module 740 is configured to perform face feature extraction on the first face registration image and the second face registration image, respectively, and store the extracted face features in a face library.
Optionally, the detecting module 720 may be specifically configured to:
and inputting the first face registration image into a face liquefaction detector, and performing optical flow field prediction on the first face registration image by using the face liquefaction detector to obtain a detection result of whether the face in the first face registration image is subjected to face beautifying processing.
Optionally, the beauty removing module 730 may be specifically configured to:
inputting a first face registration image into a pre-trained face beautification removal model, and performing beautification removal processing on a face in the first face registration image by using the face beautification removal model to obtain a second face registration image comprising the face subjected to beautification removal processing, wherein the face beautification removal model is a deep network model obtained by taking the face image subjected to beautification processing as a training sample and taking the face image not subjected to beautification processing as a training target.
By applying the embodiment of the application, if the first face registration image is the image after the face beautification processing, the face beautification removal processing is performed on the face beautified in the image to obtain the second face registration image, that is, the face in the first face registration image is the face after the face beautification processing, and the face in the second face registration image is the face after the face beautification removal processing, the extracted face features include both the face features of the face beautification and the face features of the face beautification removal, so that when the face is registered on the first face registration image after the face beautification processing, the face features of the face beautification and the face features of the face removal are stored in the face library, that is, the face features in the face library are expanded, the face features of the face removal are provided, and the accuracy of face verification is improved.
An embodiment of the present application further provides a face verification apparatus, as shown in fig. 8, the apparatus may include:
the obtaining module 810 is configured to obtain a face image to be verified;
a feature extraction module 820, configured to perform face feature extraction on a face image to be verified;
a matching module 830, configured to match the extracted face features with each face feature stored in a face library, where the face library at least stores face features obtained by extracting face features from a first face registration image, and if it is determined that the first face registration image is subjected to beauty processing by performing face beauty detection on the first face registration image, the face library also stores face features obtained by extracting face features from a second face registration image, and the second face registration image is obtained by performing beauty removal processing on the first face registration image;
the verification module 840 is configured to determine that the face image to be verified passes verification if a face feature matching the face feature obtained by extracting the face feature from the face image to be verified exists in the face library.
Optionally, the obtaining module 810 may be specifically configured to: receiving a face image to be verified, which is acquired by a face acquisition unit on the access control equipment;
the apparatus may further include:
and the sending module is used for sending a clearance notification to the access control equipment so as to notify the access control equipment of clearance.
By applying the embodiment of the application, when the face registration is carried out on the first face registration image which is subjected to the face beautifying processing, the face characteristics of the face beautifying are stored in the face library, and the face characteristics of the face beautifying removal are also stored, namely, the face characteristics in the face library are expanded, and the face characteristics of the face beautifying removal are provided, namely, the face characteristics in the face library are more perfect, and the face characteristics of the face beautifying removal which is more beneficial to face verification are included, so that when the face verification is carried out, the face can be more accurately identified, and the accuracy of the face verification is improved.
An electronic device is further provided in an embodiment of the present application, as shown in fig. 9, and includes a processor 901 and a machine-readable storage medium 902, where the machine-readable storage medium 902 stores machine-executable instructions that can be executed by the processor 901, and the processor 901 is caused by the machine-executable instructions to: the face registration method is realized.
An electronic device is further provided in an embodiment of the present application, as shown in fig. 10, including a processor 1001 and a machine-readable storage medium 1002, where the machine-readable storage medium 1002 stores machine-executable instructions that can be executed by the processor 1001, and the processor 1001 is caused by the machine-executable instructions to: the face verification method is realized.
The machine-readable storage medium may include a RAM (Random Access Memory) and a NVM (Non-Volatile Memory), such as at least one disk Memory. Alternatively, the machine-readable storage medium may be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also a DSP (Digital Signal Processing), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
Data transmission between the machine-readable storage medium 902 and the processor 901, and between the machine-readable storage medium 1002 and the processor 1001 may be performed by means of wired connection or wireless connection, and the electronic device may communicate with other devices through a wired communication interface or a wireless communication interface. Fig. 9 and 10 are only examples of data transmission between the processor and the machine-readable storage medium through a bus, and are not limited to a specific connection manner.
The embodiment of the application also provides a machine-readable storage medium, which stores machine-executable instructions and realizes the face registration method when the machine-readable storage medium is called and executed by the processor.
Embodiments of the present application further provide a computer program product containing instructions, which when run on a computer, causes the computer to execute the method for implementing the above-mentioned face registration.
The embodiment of the application also provides a machine-readable storage medium, which stores machine-executable instructions and realizes the face verification method when the machine-readable storage medium is called and executed by a processor.
Embodiments of the present application further provide a computer program product containing instructions, which when run on a computer, causes the computer to execute the method for implementing the above-mentioned face authentication.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber, DSL (Digital Subscriber Line)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a DVD (Digital Versatile Disk)), or a semiconductor medium (e.g., a SSD (Solid State Disk)), etc.
The embodiment of the present application further provides a face verification system, as shown in fig. 11, including a face acquisition device 1101 and an electronic device 1102;
the face acquisition device 1101 is configured to acquire a face image to be verified, and send the face image to be verified to the electronic device 1102;
the electronic device 1102 is configured to receive a face image to be verified sent by the face acquisition device 1101, and perform face feature extraction on the face image to be verified; matching the extracted face features with each face feature stored in a face library, wherein the face library at least stores the face features obtained by extracting the face features of a first face registration image, and if the first face registration image is subjected to face beautifying detection, determining that the first face registration image is subjected to face beautifying processing, the face library also stores the face features obtained by extracting the face features of a second face registration image, and the second face registration image is obtained by performing face beautifying removal processing on the first face registration image; and if the face characteristics matched with the face characteristics obtained by extracting the face characteristics of the face image to be verified exist in the face library, determining that the face image to be verified passes the verification.
The face acquisition equipment can be a mobile phone camera, a tablet computer camera, a camera on the access control equipment and the like, and the electronic equipment can be a mobile phone processor, a tablet computer processor, a background server of the access control system and the like.
By applying the embodiment of the application, if the first face registration image is the image after the face beautification processing, the face beautification removal processing is performed on the face beautified in the image to obtain the second face registration image, that is, the face in the first face registration image is the face after the face beautification processing, and the face in the second face registration image is the face after the face beautification removal processing, the extracted face features include both the face features of the face beautification and the face features of the face beautification removal, so that when the face is registered on the first face registration image after the face beautification processing, the face features of the face beautification and the face features of the face removal are stored in the face library, that is, the face features in the face library are expanded, the face features of the face removal are provided, and the accuracy of face verification is improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiments of the apparatus, the electronic device, the machine-readable storage medium, the computer program product, and the face verification system, since they are substantially similar to the embodiments of the method, the description is simple, and the relevant points can be referred to the partial description of the embodiments of the method.
The above description is only for the preferred embodiment of the present application and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application are included in the protection scope of the present application.
Claims (10)
1. A face registration method, comprising:
acquiring a first face registration image;
performing face beautifying detection on the first face registration image, and judging whether the face in the first face registration image is subjected to face beautifying processing or not;
if so, performing beauty removal processing on the face to obtain a second face registration image of the face after the beauty removal processing;
and respectively extracting the face features of the first face registration image and the second face registration image, and storing the extracted face features into a face library.
2. The method according to claim 1, wherein the performing face beauty detection on the first face registration image and determining whether the face in the first face registration image is subjected to beauty processing comprises:
inputting the first face registration image into a face liquefaction detector, and performing optical flow field prediction on the first face registration image by using the face liquefaction detector to obtain a detection result of whether the face in the first face registration image is subjected to face beautifying processing.
3. The method of claim 1, wherein the performing a facial beautification removal process on the face to obtain a second face registration image including the face beautification-removed face comprises:
inputting the first face registration image into a pre-trained face beautification removal model, and performing beautification removal processing on a face in the first face registration image by using the face beautification removal model to obtain a second face registration image of the face, wherein the second face registration image comprises face beautification removed face, and the face beautification removal model is a deep network model obtained by training by using a face image subjected to beautification processing as a training sample and a face image not subjected to beautification processing as a training target.
4. A face verification method, comprising:
acquiring a face image to be verified;
extracting the face features of the face image to be verified;
matching the extracted face features with each face feature stored in a face library, wherein the face library at least stores face features obtained by extracting the face features of a first face registration image, and if the first face registration image is determined to be subjected to face beautifying processing through face beautifying detection, the face library also stores face features obtained by extracting the face features of a second face registration image, and the second face registration image is obtained by performing face beautifying removal processing on the first face registration image;
and if the face features matched with the face features obtained by extracting the face features of the face image to be verified exist in the face library, determining that the face image to be verified passes verification.
5. The method according to claim 4, wherein the obtaining of the face image to be verified comprises:
receiving a face image to be verified, which is acquired by a face acquisition unit on the access control equipment;
if the face features matched with the face features obtained by extracting the face features of the face image to be verified exist in the face library, determining that the face image to be verified passes verification, wherein the method further comprises the following steps:
and sending a clearance notification to the access control equipment to notify the access control equipment of clearance.
6. The method according to claim 4, wherein the face beauty detection is performed on the first face registration image by:
inputting the first face registration image into a face liquefaction detector, and performing optical flow field prediction on the first face registration image by using the face liquefaction detector to obtain a detection result of whether the face in the first face registration image is subjected to face beautifying processing.
7. The method according to claim 4, wherein the second face registration image is obtained by performing a beauty removal process on the first face image by:
inputting the first face registration image into a pre-trained face beautification removal model, and performing beautification removal processing on a face in the first face registration image by using the face beautification removal model to obtain a second face registration image of the face, wherein the second face registration image comprises face beautification removed face, and the face beautification removal model is a deep network model obtained by training by using a face image subjected to beautification processing as a training sample and a face image not subjected to beautification processing as a training target.
8. A face registration apparatus, the apparatus comprising:
the acquisition module is used for acquiring a first face registration image;
the detection module is used for carrying out face beautifying detection on the first face registration image and judging whether the face in the first face registration image is subjected to face beautifying processing or not;
the face beautifying removing module is used for performing face beautifying removing processing on the face if the detection result of the detection module indicates that the face in the first face registration image is subjected to face beautifying processing, so as to obtain a second face registration image comprising the face subjected to face beautifying removing processing;
and the feature extraction module is used for respectively extracting the face features of the first face registration image and the second face registration image and storing the extracted face features into a face library.
9. An apparatus for face authentication, the apparatus comprising:
the acquisition module is used for acquiring a face image to be verified;
the characteristic extraction module is used for extracting the human face characteristics of the human face image to be verified;
a matching module, configured to match the extracted face features with each face feature stored in a face library, where the face library at least stores face features obtained by extracting face features from a first face registration image, and if it is determined that the first face registration image is subjected to beauty processing by performing face beauty detection on the first face registration image, the face library also stores face features obtained by extracting face features from a second face registration image, and the second face registration image is obtained by performing beauty removal processing on the first face registration image;
and the verification module is used for determining that the face image to be verified passes the verification if the face library has the face features obtained by extracting the face features of the face image to be verified.
10. A face verification system is characterized by comprising face acquisition equipment and electronic equipment;
the face acquisition equipment is used for acquiring a face image to be verified and sending the face image to be verified to the electronic equipment;
the electronic equipment is used for receiving the face image to be verified sent by the face acquisition equipment and extracting the face features of the face image to be verified; matching the extracted face features with each face feature stored in a face library, wherein the face library at least stores face features obtained by extracting the face features of a first face registration image, and if the first face registration image is determined to be subjected to face beautifying processing through face beautifying detection, the face library also stores face features obtained by extracting the face features of a second face registration image, and the second face registration image is obtained by performing face beautifying removal processing on the first face registration image; and if the face characteristics matched with the face characteristics obtained by extracting the face characteristics of the face image to be verified exist in the face library, determining that the face image to be verified passes verification.
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