Method and device for distinguishing face expression based on video frequency

A facial expression and recognition method technology, applied in the field of recognition, can solve the problem of not being able to accurately and automatically extract facial expressions, achieve the best technical and commercial effects, and eliminate the effect of lighting effects.

Active Publication Date: 2006-06-28
GUANGDONG VIMICRO
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: the prior art cannot accurately and automatically extract human facial expressions. The present invention proposes a facial expression recognition method in the case of video, and the purpose is to be able to solve the defects existing in the prior art. The method is based on the overall features of the face, and generates a standard face according to the automatically extracted chin contour of the face, and then uses the AdaBoost algorithm to select the most effective features to obtain a robust recognition result

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  • Method and device for distinguishing face expression based on video frequency
  • Method and device for distinguishing face expression based on video frequency
  • Method and device for distinguishing face expression based on video frequency

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Embodiment Construction

[0063] The present invention provides a video-based human face and facial expression recognition method. The method is made for the video data of a commonly used USB camera. The method can automatically detect and track the human face in real time and can recognize the frontal human face Common expressions.

[0064] Referring to the present invention figure 1 Shown is a flow chart of the identification method described in the present invention, which specifically includes the following steps:

[0065] First, collect the facial expression image, the collection step is specifically: collect the facial expression image data of the human face from the video data input by the USB camera, and preprocess the image data;

[0066] In an embodiment of the present invention, the image acquisition process also includes a face data tracking step, the purpose of this step is to detect multiple faces in the shooting scene in real time, and for one of the faces such as the largest face to co...

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Abstract

This invention provides an identification method and a device for countenance based on the video, which applies the ASM profile pick-up algorithm in the pick-up of character vectors and picks up the man-face image based on the position of the eyes to generate a normalized character face from the chin and picks up the most effective character in the character face to identify the countenance, which can eliminate the influence of illumination to make the right and left gray value almost the same with the variance.

Description

technical field [0001] The invention relates to a recognition method, in particular to a video-based recognition method and device for human facial expressions. Background technique [0002] With the deepening of human-computer interaction research and great application prospects, facial expression recognition has become a research hotspot in the field of pattern recognition and artificial intelligence. But the real-time recognition of human facial expressions is a very difficult problem, many theories are not perfect, and there are almost no mature commercial results. The difficulty of facial expression recognition is that the same expression made by different people is quite different, and the difference between different expressions is also very subtle. In addition, lighting and facial posture will also affect the accuracy of recognition. Expression recognition methods are generally based on statistics, that is, extracting feature vectors from face images, then training...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 谢东海黄英王浩
Owner GUANGDONG VIMICRO
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