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Facial expression recognition method and system, and training method and system of expression classifier

A facial expression and classifier technology, applied in the field of pattern recognition, can solve problems such as unnaturalness, jumping, and discrete expression recognition results.

Inactive Publication Date: 2010-11-03
VIMICRO CORP
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AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a human facial expression recognition method and system, a human facial expression classifier training method and system, in order to overcome the shortcomings of the existing facial expression recognition results of discrete, jumping, unnatural

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  • Facial expression recognition method and system, and training method and system of expression classifier
  • Facial expression recognition method and system, and training method and system of expression classifier

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Embodiment Construction

[0078] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0079] The expressions that appear in a spontaneous state are continuous, from neutral to exaggerated, and the normal expressions of various expressions are often relatively weak. Therefore, the sequence recognition from weak expressions to strong exaggerated expressions is a practical expression recognition method. The key to naturalization and naturalization.

[0080] One of the core concepts of the embodiments of the present invention is to use weak expression changes as the prelude of the entire sequence of expressions from occurrence to end. Specifically, based on the learning method, the continuous facial expression library is trained. Since the continuous facial expression sequence includes neutral expression sequence, weak...

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Abstract

The invention provides a facial expression recognition method and a system, and a training method and a system of a facial expression classifier. The facial expression recognition method specifically comprises the following steps: carrying out feature extraction on an optical flow motion field fusing the sequences of a binary image and a gray scale image and obtaining a feature sequence; and taking the inputted feature sequence as an observation sequence and judging the expression category of the observation sequence according to the facial expression classifier, wherein the facial expression classifier is obtained by combining hidden markov models of a variety of expressions, and the hidden markov models are obtained by training neutral expression sequences and weak expression sequences in facial expression samples. The invention is used for overcoming the shortcomings of discrete results, jumping and unnatural property of the existing expression recognition.

Description

technical field [0001] The present invention relates to the technical field of pattern recognition, in particular to a method and system for recognizing facial expressions, and a method and system for training human facial expression classifiers. Background technique [0002] Facial expression is the most common pattern in human vision. The research purpose of facial expression recognition (FER, facial expression recognition) is how to use the information conveyed by facial expression automatically, reliably and efficiently. [0003] Facial expression recognition is a hot topic in the research of natural human-computer interaction, computer vision, emotional computing and image processing, and has a wide range of applications in the fields of human-computer interaction, distance education, security, intelligent robot development, medical treatment, animation production, etc. . If computers can also have the ability to understand and express emotions like humans, and adapt t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/54G06K9/62
Inventor 崔国勤
Owner VIMICRO CORP
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