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Face pose recognition method based on gabor features and dictionary learning

A face pose and dictionary learning technology, applied in character and pattern recognition, acquisition/recognition of facial features, instruments, etc., can solve the problems of face pose recognition, lighting noise, etc., and achieve the effect of improving stability

Active Publication Date: 2019-05-03
GUANGDONG MICROPATTERN SOFTWARE CO LTD
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  • Claims
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Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies of the above methods, propose a face gesture recognition method based on Gabor features and dictionary learning, solve the problems of illumination, noise and occlusion in the face gesture recognition, and identify the front, Head up, nod, left turn, left face, right turn and right face

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  • Face pose recognition method based on gabor features and dictionary learning
  • Face pose recognition method based on gabor features and dictionary learning
  • Face pose recognition method based on gabor features and dictionary learning

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Embodiment

[0051] The facial gesture recognition method based on Gabor features and dictionary learning disclosed in the embodiments of the present invention mainly classifies facial gestures based on the idea of ​​dictionary learning and sparse representation.

[0052] The face pose is divided in advance, and the face pose is discretized into different subspaces, and each word space corresponds to a face pose category. In the embodiment of the present invention, the division of 7 different types of posture categories and the definition of their corresponding subspaces are used to discretize the face posture into 7 different subspaces, namely, left side 1, left side 2, right side 1 and right side 2, 7 gesture categories such as front, head up, and nodding, such as figure 1 As shown, they are defined as left yaw, left face, right yaw, right face, frontal, head up, and nod, respectively.

[0053] The face gesture recognition method based on Gabor feature and dictionary learning disclosed ...

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Abstract

The invention discloses a face gesture recognition method based on Gabor features and dictionary learning, comprising the following steps: first, discretize the face gestures into different subspaces, and use K-SVD to train a subdictionary for each subspace. It corresponds to a category; then, all the sub-dictionaries are combined into a super-complete dictionary; finally, the method based on gabor features and sparse representation is used for pose classification. In order to improve the robustness of the algorithm, the invention reconstructs an occluded face dictionary to solve the problem of face occlusion in face gesture recognition. The present invention can solve the problems of illumination, noise and occlusion in face pose estimation, and quickly and robustly recognize front face, head up, nod, left deflection, left face, right deflection and right face. It can be better applied to fields such as safe driving, human-computer interaction and face recognition.

Description

technical field [0001] The invention belongs to the technical fields of image processing, pattern recognition, computer vision and human-computer interaction, and relates to a face gesture recognition method, in particular to a face gesture recognition method based on dictionary learning and sparse representation. Background technique [0002] Facial pose estimation has great application prospects in the fields of intelligent video surveillance, face recognition, human-computer interaction and virtual reality. For example, in terms of intelligent video surveillance, face pose estimation can be applied to driving monitoring systems to identify whether the driver is concentrating on driving by monitoring changes in the driver's face pose to avoid collisions. In addition, face pose estimation has a great impact on the accuracy of face recognition. Many face recognition algorithms can achieve a good recognition rate for frontal face images, but for multi-pose non-frontal face im...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/66
CPCG06V40/171G06V40/174G06V40/172G06V30/194
Inventor 陈友斌廖海斌
Owner GUANGDONG MICROPATTERN SOFTWARE CO LTD