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A method for recognizing facial expressions

A technology of facial expression and recognition method, which is applied in the field of recognition graphics, can solve the problems of imprecise texture description and low recognition rate, achieve fine local texture description, improve representation and classification performance, and overcome the effect of imprecise texture description

Active Publication Date: 2018-05-29
HEBEI UNIV OF TECH
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a recognition method of human facial expression, which is a recognition method of human facial expression using the Center Symmetrical Ternary Patterns (Center Symmetrical Ternary Patterns, hereinafter referred to as CSTP) algorithm to extract expression texture features , which overcomes the defect of imprecise texture description and low recognition rate caused by complex recognition background in the prior art

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  • A method for recognizing facial expressions
  • A method for recognizing facial expressions
  • A method for recognizing facial expressions

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Embodiment

[0064] The recognition method of a kind of human facial expression of the present embodiment is a kind of recognition method of human facial expression using CSTP algorithm to extract the human facial expression texture feature, and concrete steps are as follows:

[0065] The first step, facial expression image preprocessing:

[0066] Adopt the facial expression image in the facial expression library that has carried out human face detection and geometric normalization, and apply following formula (1) on the original database to carry out Gaussian filter processing, thus complete the facial expression image preprocessing,

[0067]

[0068] Where (x, y) is the pixel coordinates, σ is the variance;

[0069] The second step is to extract the facial expression texture features on the sub-blocks of each facial expression image:

[0070] Divide the facial expression image that has been preprocessed in the first step into blocks, divide it into 5×5 non-overlapping sub-blocks, and...

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Abstract

The present invention relates to a method for recognizing human facial expressions, which relates to a method for recognizing graphics, and is a method for recognizing human facial expressions using the Center Symmetrical Ternary Patterns (Center Symmetrical Ternary Patterns, hereinafter referred to as CSTP) algorithm to extract facial expression texture features The steps are: preprocessing the facial expression image; extracting the facial expression texture feature on each sub-block of the facial expression image; determining the final facial expression texture feature of the facial expression image; completing the recognition of the facial expression. The method of the invention overcomes the defects of the prior art that the texture description is not fine and the recognition rate is not high due to the complex recognition background.

Description

technical field [0001] The technical solution of the present invention relates to a method for recognizing graphics, in particular to a method for recognizing human facial expressions. Background technique [0002] Facial expression recognition is a challenging research topic in the field of computer vision, and it is of great significance in psychology and human-computer interaction research. In recent years, facial expression recognition technology has developed rapidly. The mainstream methods include Gabor filter method, active shape model ASM (Active Shape Models), principal component analysis PCA (Principal Component Analysis) and texture feature method. Gabor wavelet can extract the texture features of facial expressions from different scales and different directions, but the high dimensionality generated by the calculation process may lead to the exhaustion of computer memory, and the calculation process is quite time-consuming. The ASM algorithm can intuitively resp...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172G06V40/174
Inventor 郭迎春唐红梅乔帆帆师硕于洋刘依翟艳东
Owner HEBEI UNIV OF TECH
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