Method and system for identifying human facial expression

Abstract

The invention provides a method and a system for identifying human facial expression. The method for identifying the human facial expression comprises the steps of utilizing ASM (active shape model) algorithm to extract a shape model and feature points of a to-be-identified facial image, then, utilizing Gabor wavelet transform algorithm to extract amplitude texture characteristics of the feature points; obtaining a to-be-identified eigen face through projection for the amplitude texture characteristics; and identifying expression of a to-be-identified human face by comparing similarity between the to-be-identified eigen face and a sample eigen face. According to the method and the system for identifying human facial expression, the ASM algorithm is combined for extracting the feature points, so that identification through the Gabor wavelet transform algorithm can be performed only by comparing textural characteristics of the feature points. Compared with the existing facial identification technology only adopting the Gabor wavelet algorithm, the method and the system for identifying the human facial expression has the advantages of small data processing capacity, short identification time, low internal memory loss and the like.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a method and system for recognizing human facial expressions. Background technique [0002] In the process of interaction between people, facial expressions, as the carrier of emotions, convey rich individual emotional information (such as: anger, happiness, sadness, surprise, fear, disgust, etc.), and in the communication between people Therefore, facial expression recognition technology has become a research hotspot in the fields of human-computer interaction, intelligent control, image processing and pattern recognition. [0003] The prior art provides a method for recognizing facial expressions based on the Gabor wavelet transform algorithm. Because the Gabor feature has good spatial locality and direction selectivity, it has good resolution in both the spatial domain and the frequency domain, and can describe the texture information of facial expressio...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a recognition method of human facial expression, aiming at solving the problem that the recognition method of human facial expression based on Gabor wavelet transform algorithm provided by the prior art needs to combine the human facial expression when performing human face recognition. Comparing the sample image with each feature extracted, the problem of large amount of calculation, long calculation time and large loss of memory

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