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Face recognition method and device under side face condition, equipment and storage medium

A technology of face recognition and side face, which is applied in the field of face method, equipment, storage medium, and device in the case of side face, and can solve the problem of low probability of frontal face, difficult recognition of human face, and difficulty in obtaining the frontal face of a person Image and other problems to achieve the effect of improving accuracy

Active Publication Date: 2019-10-22
GCI SCI & TECH
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Problems solved by technology

In the process of face recognition, side face recognition is of great significance in face recognition. In many cases, it is difficult to obtain a person's front face image. Recognition problems, for example: the probability of capturing a person's face in a surveillance scene is relatively small

Method used

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  • Face recognition method and device under side face condition, equipment and storage medium
  • Face recognition method and device under side face condition, equipment and storage medium
  • Face recognition method and device under side face condition, equipment and storage medium

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0046] Please refer to figure 1 , the first embodiment of the present invention provides a face recognition method in the case of a side face, which can be performed by a face recognition device in the case of a side face, and includes the following steps:

[0047] S11: Obtain local binary features corresponding to facial feature points in the received facial image, and perform regression processing on the local binary features to identify the shape of the hum...

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Abstract

The invention discloses a face recognition method and device under a side face condition, equipment and a storage medium, and the method comprises the steps: obtaining local binary features corresponding to face feature points in a received face image, carrying out the regression of the local binary features, and recognizing the shape of a face; when the recognized face shape is a non-front face,reconstructing the face image through a pre-constructed front face reconstruction model to generate a front face image; according to the front face image, extracting a face frame through a pre-constructed transient chaotic neural network; according to the face frame, extracting a face feature vector through a pre-constructed FaceNet network model; splicing the face feature vectors, and calculatingthe similarity between the spliced face feature vectors and the front face image sample; obtaining a front face image sample corresponding to the maximum similarity, and outputting the front face image sample as a face recognition result. According to the method, the accuracy of face recognition can be effectively improved under the condition of side face or partial occlusion.

Description

technical field [0001] The invention relates to the field of computer image processing, in particular to a face method, device, equipment and storage medium in the case of profile faces. Background technique [0002] With the development of computer technology, especially pattern recognition technology, face recognition in the case of side faces appears in people's field of vision as a technical direction. The face recognition technology in the case of side faces can be used as the basic work of multiple application projects in the field of image processing and video analysis, such as face recognition, face image retrieval, and driver fatigue detection. In the process of face recognition, side face recognition is of great significance in face recognition. In many cases, it is difficult to obtain a person's front face image. Recognition problems, for example: the probability of capturing a person's face in a surveillance scene is relatively small. Therefore, improving the a...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/172G06V40/161G06V40/168G06N3/045G06F18/2135G06F18/214
Inventor 杜翠凤
Owner GCI SCI & TECH
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