Face recognition model construction method, system and device thereof and storage medium
A face recognition and construction method technology, applied in the field of face recognition, can solve the problems of inability to work, the performance of the face recognition system is degraded, and the scale is small, so as to increase the scale, improve the training effect, and improve the performance.
Pending Publication Date: 2019-09-06
WUYI UNIV
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[0003] Existing face recognition technology largely relies on the size of training samples, but in actual situations, such as immigration management, fugitive tracking and video surveillance, the sample size is small, which will lead to the failure of the face recognition system. Slow performance or even not working
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[0055] This part will describe the specific embodiment of the present invention in detail, and the preferred embodiment of the present invention is shown in the accompanying drawings. Each technical feature and overall technical solution of the invention, but it should not be understood as a limitation on the protection scope of the present invention.
[0056] In the description of the present invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc. indicated orientations or positional relationships are based on the orientations or positional relationships shown in the drawings, and are only In order to facilitate the description of the present invention and simplify the description, it does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
[0057] I...
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The invention discloses a face recognition model construction method, a system and device thereof and a storage medium. The face recognition model construction method comprises the steps: generating an intra-class change data set for sample expansion; and generating an extended sample by using the intra-class change data set, and training the lightweight convolutional neural network by using the extended sample, thereby effectively increasing the scale of the sample, making up the problem of insufficient training samples, improving the training effect, and improving the performance of the final face recognition model. In addition, by introducing the lightweight convolutional neural network, the lightweight convolutional neural network can be simply and conveniently applied to the embeddeddevice on the basis of ensuring good performance due to the fact that the parameters of the lightweight convolutional neural network are few.
Description
technical field [0001] The present invention relates to the technical field of face recognition, in particular to a method for constructing a face recognition model, a system, a device, and a storage medium thereof. Background technique [0002] In recent years, as people have higher and higher requirements for the security and accuracy of biometric systems, biometric technology has received more and more attention. Face recognition, as one of many biometric recognition technologies, has become a current research hotspot due to its advantages of conforming to human cognitive habits, simple acquisition, non-contact, and concurrency. [0003] Existing face recognition technology largely relies on the size of training samples, but in actual situations, such as immigration management, fugitive tracking and video surveillance, the sample size is small, which will lead to the failure of the face recognition system. Performance drops, or even doesn't work. Contents of the invent...
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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06F18/241
Inventor 曾军英王璠秦传波朱伯远翟懿奎甘俊英
Owner WUYI UNIV