Facial expression recognition method and apparatus
A facial expression recognition and facial expression technology, applied in the field of face recognition, can solve the problems of high complexity, slow recognition speed, low recognition accuracy, etc., to improve the recognition speed, fast recognition speed, and high recognition accuracy. Effect
Inactive Publication Date: 2015-12-02
BEIJING TECHSHINO TECH
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[0005] The existing facial expression recognition methods generally have the disadvantages of high complexity, low recognition accuracy and slow recognition speed
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[0028] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.
[0029] On the one hand, the present invention provides a kind of method of facial expression recognition, such as figure 1 shown, including:
[0030] Step S101: using a Gabor filter to filter the facial expression image to be recognized to obtain the Gabor feature of the facial expression image to be recognized;
[0031] The present invention selects multiple Gabor filters with different directions and different scales to filter the image. The so-called scale is a physical quantity representing the center frequency of the Gabor filter, and the scale is inversely proportional to the center frequency.
[0032] Step S102: select several sampling points, and combine the Gabor features of the sampling points into a joint feature vector;
[0033] The Gabor f...
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The invention discloses a facial expression recognition method and apparatus and belongs to the facial recognition field. The facial expression recognition method includes the following steps that: a facial expression image to be recognized is filter through using a Gabor filter, so that the Gabor features of the facial expression image to be recognized can be obtained; a plurality of sampling points are selected, and the Gabor features of the sampling points are combined to form combined feature vectors; dimensionality reduction is performed on the combined feature vectors through a PCA algorithm and by means of a linear transformation matrix, so that low-dimensionality Gabor feature vectors can be obtained; and the low-dimensionality Gabor feature vectors are classified through an SRC algorithm, so that facial expression recognition can be completed. Compared with the prior art, the facial expression recognition method of the invention has the advantages of simplicity, convenience, high recognition accuracy and high recognition speed.
Description
technical field [0001] The present invention relates to the field of face recognition, in particular to a method and device for face expression recognition. Background technique [0002] Facial expressions are an important way for human beings to express their emotions and convey their inner world and attitudes. People can use expressions to express their emotions. 7% of information transfer between people comes from words, 38% from sound, and 55% depends on facial expressions. This suggests that facial expressions play an important role in people's communication. [0003] Facial expression recognition is a technology that studies how to make a computer obtain and distinguish facial expressions from static images or video sequences. If computers can acquire and understand human facial expressions, it will greatly change the relationship between humans and computers, thereby achieving better human-computer interaction effects. In addition, facial expression recognition is ...
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IPC IPC(8): G06K9/00
CPCG06V40/174
Inventor 孔令美陆小军张祥德
Owner BEIJING TECHSHINO TECH