Quickly-constructed human face action unit recognition method and system

Abstract

The invention relates to a quickly-constructed human face action unit recognition method and system. A relative distance between two corresponding key points is generated according to the reference distance between any two key points on a sample reference face, the expression distance between the two corresponding key points on an expression face and a relative relationship I between the referencedistance and the expression distance; relative angles among corresponding three key points according to the reference angles among any three key points on the reference face, the expression angles among the corresponding three key points on the expression face and a relative relationship II among the reference angles and the expression angles; therefore, the difference of AU motion amplitudes among individuals is cancelled; the difference caused by the appearance of people is balanced; on the basis of ensuring the natural appearance features of an identified person, facial action units presented in various expressions of the recognized person are recognized; subsequent AU recognition is guaranteed to be conducted accurately; construction of a feature library is proposed for the first timeaccording to the distance and angle features among face key points; the requirements for the quality and number of samples in a sample library are low; the calculation speed is high; and the parameter adjustment time is short.

Description

technical field [0001] The present invention relates to the technical field of computer vision processing, in particular to a method and system for quickly constructing human face action unit recognition. Background technique [0002] Facial emotion recognition is an important part of human-computer interaction and affective computing research, involving cognitive science, anthropology, psychology, computer science and other research fields, and is of great significance to the intelligent and harmonious human-computer interaction. [0003] Since Action Units (AU) are the basic unit for describing facial muscle movements, different AUs are combined to form different facial expressions. Therefore, at present, the method of judging facial expressions by identifying AU motion units in facial images is relatively common in the industry. However, the existing methods for identifying AU motion units in the industry need to collect a large number of AU samples, and the requirements ...

AI Technical Summary

Problems solved by technology

Therefore, at present, the method of judging facial expressions by identifying AU motion units in facial images is relatively common in the industry. However, the existing methods for identifying AU motion units in the industry need to collect a large number of AU samples, and the requirements for the quality and quantity of samples in the sample library Higher, long parameter tuning time, and low accuracy

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