Method, device and equipment for face recognition under large posture
A face recognition and posture technology, applied in the field of face recognition, can solve the problems of large storage space, occupation, and low accuracy of face recognition, and achieve the effect of simple training process, improved accuracy, and reduced storage space occupation
Active Publication Date: 2021-07-30
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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[0004] In view of this, the embodiment of the present application provides a face recognition method, device and equipment in a large posture to solve the problem that the accuracy of face recognition in the prior art is not high, or the training and testing process is complicated and requires a large storage space issue
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[0039] In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are set forth in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
[0040] In order to illustrate the technical solutions described in the present application, the following specific embodiments are used for description.
[0041] figure 1 A schematic diagram of the implementation flow of a face recognition method in a large posture provided by the embodiment of the present application is described in detail as follows:
[0042] In ...
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A face recognition method under a large pose includes: learning the first image feature of a face training image through a texture learning network; reconstructing a corresponding three-dimensional face according to the face training image, and transforming the shape of the reconstructed three-dimensional face The information is converted into a two-dimensional texture image; the second image feature of the two-dimensional texture image is learned through a shape learning network; and the face is recognized by combining the first image feature and the second image feature. The joint expression of two-dimensional plane features and three-dimensional features can effectively improve the accuracy of face recognition in large poses, and the training process is relatively simple, which can reduce the storage space occupied.
Description
technical field [0001] The present application belongs to the field of face recognition, and in particular relates to a method, device and equipment for face recognition in a large posture. Background technique [0002] In a non-cooperative and non-controlled environment, when face recognition is performed on a user, the collected face images often have interference from various pose changes, that is, the collected face images are large poses. In order to improve this environment The accuracy of face recognition under the following conditions requires the recognition of faces with large poses. [0003] Current methods for large pose face recognition include the use of pose-awareness networks and the use of deep networks to learn pose-robust face features. Among them, each sub-network in the posture awakening network is responsible for one kind of posture, and the entire network covers all face postures. However, since multiple sub-networks need to be trained, and the traini...
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IPC IPC(8): G06K9/00G06N3/08G06T17/00
CPCG06N3/08G06T17/00G06V40/172
Inventor 乔宇曾小星彭小江
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI