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Facial expression identification method

A technology of facial expression and recognition method, applied in the field of recognition graphics, which can solve the problems of imprecise texture description and low recognition rate

Active Publication Date: 2015-11-18
HEBEI UNIV OF TECH
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  • Abstract
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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 CenterSymmetricalTernaryPatterns (CenterSymmetricalTernaryPatterns, hereinafter referred to as CSTP) algorithm to extract the expression texture feature, which overcomes the Existing technology recognizes the defect that the texture description is not fine and the recognition rate is not high due to the complex background

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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] G ( x , y ) = 1 2 πσ 2 e - x 2 ...

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Abstract

The invention discloses a facial expression identification method and relates to a method for identifying images. The facial expression identification method is a facial expression identification method which extracts expression textural characteristics using a center symmetrical ternary patterns (CSTP) algorithm. The method comprises steps of preprocessing a facial expression image; extracting facial expression textural characteristics on each sub-block of the facial expression image; and determining final facial expression textural characteristics of the facial expression image. Therefore, the facial expression identification is completed. The method overcomes problems that texture description is not fine due to a complex identification background and the identification rate is not high in the prior art.

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...

Claims

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Application Information

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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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