Posture-spanning colored image facial expression recognition of direct push type migration group sparse discriminant analysis

A discriminant analysis and color image technology, applied in character and pattern recognition, acquisition/recognition of facial features, instruments, etc., can solve problems such as difficult to obtain images and inability to achieve recognition effects

Inactive Publication Date: 2015-12-23
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

However, in many real scenes, it is difficult to obtain images with the same class information as the test face image pose
Therefore, the original...

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  • Posture-spanning colored image facial expression recognition of direct push type migration group sparse discriminant analysis
  • Posture-spanning colored image facial expression recognition of direct push type migration group sparse discriminant analysis
  • Posture-spanning colored image facial expression recognition of direct push type migration group sparse discriminant analysis

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Embodiment Construction

[0028] The main technical steps of technical solution implementation of the present invention are specifically as follows:

[0029] (1) Divide the entire data set into a source face pose data set and a target face pose data set;

[0030] (2) For each image in the source face pose data set, an active shape model (ASM) is used to automatically locate 49 marker points as key points for color SIFT feature extraction;

[0031] (3) Each image is decomposed into three component images according to the three color channels of the color space. The color space can be RGB, YCbCr or CIE-Lab color space, and the SIFT feature vector is extracted from each component image as Image expression feature vector and { y 3 , j , k ( s ) } ( j = 1 ...

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Abstract

The invention discloses a posture-spanning colored image facial expression recognition method of a direct push type migration group sparse discriminant analysis (TTGSLDA). Training and testing human face images are photographed under two different face visual angles; one group of auxiliary unmarked human face images are selected from target human face postures and are integrated into a marked training image set in source human face postures; and a label of an auxiliary image is a parameter to be optimized by a direct push type linear discriminant analysis (TTLDA) method. After an obtained class label of an auxiliary image set is learnt, a support vector machine (SVM) is trained based on the parameter so that the classification of the testing human face images is finished. In order to sufficiently utilize face information of a colored image to improve the accuracy of the facial expression recognition, characteristics of the human face images are represented by colored scale invariant feature transform (SIFT). The posture-spanning colored image facial expression recognition method has a facial expression recognition effect with relatively high recognition rate and relatively good robustness.

Description

technical field [0001] The invention belongs to the technical field of image processing and pattern recognition, and in particular relates to a cross-posture color image expression recognition method of transductive migration group sparse discriminant analysis. Background technique [0002] Cross-pose facial expression recognition (FER) has become a research hotspot in the field of facial expression recognition research. Compared with the FER problem of frontal or near-frontal perspective, due to the significant difference in the distribution of expression features between training face images and test images, cross-pose expression recognition faces many difficulties. For example, for a face image of a frontal or near-frontal perspective, the right half and the left half of the face are symmetrical or nearly symmetrical. However, for non-frontal face images, there is a large difference between the two parts. [0003] When dealing with the cross-pose FER problem, most metho...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172G06V40/174
Inventor 周晓彦郑文明钟静张秀再梅永
Owner NANJING UNIV OF INFORMATION SCI & TECH
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