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Your search keyword '"Chang, Faliang"' showing total 130 results
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130 results on '"Chang, Faliang"'

114. Expression recognition method based on evidence theory and local texture.

Author

Wang, Wencheng, Chang, Faliang, Liu, Yunlong, and Wu, Xiaojin

Subjects
HUMAN facial recognition software, FACIAL expression, DEMPSTER-Shafer theory, HISTOGRAMS, BIOMETRIC identification
Abstract

To the question of feature selection and multi-feature fusion in facial expression recognition, a novel fusion model is proposed in this paper based on evidence theory and local feature operator. First, the facial image is divided into several regions with significant recognition features, and the Local Binary Pattern (LBP) textural features of the regions are extracted. Then, the LBP histograms in the local regions are connected into a single histogram list, and Chi-square distance is used as the similarity measure to establish the guidelines for evidence synthesis. Finally, the Dempster-Shafer evidence inference theory (D-S evidence theory) is adopted to accomplish the feature vector fusion of all components and the class judgment of facial expression is performed. Experiment shows that the method is simple and effective, which has a high recognition rate and can improve the performance of the facial expression recognition system to some extent. [ABSTRACT FROM AUTHOR]

Published
2017
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126. A Region-Based Skin Color Detection Algorithm.

Author

Carbonell, Jaime G., Siekmann, Jörg, Zhou, Zhi-Hua, Li, Hang, Yang, Qiang, Chang, Faliang, Ma, Zhiqiang, and Tian, Wei

Abstract

In this paper, a new region-based algorithm for detecting skin color in static images is described. We choose the single Gaussian skin color model in the normalized r-g space after analyzing the distributions of skin color in six different 2-D chrominance spaces. Images are first segmented into patches using a improved fuzzy C-means algorithm, in which the local characteristic is adopted to constrain fuzzy functions, and a simple method for initializing clustering centriods is adopted. Then, the percentage of skin color pixels in each patch can be obtained. According to corresponding percentages, patches are classified as skin color regions or not. [ABSTRACT FROM AUTHOR]

Published
2007
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127. Target Tracking Under Occlusion by Combining Integral-Intensity-Matching with Multi-block-voting.

Author

Huang, De-Shuang, Zhang, Xiao-Ping, Huang, Guang-Bin, Chang, Faliang, Ma, Li, and Qiao, Yizheng

Abstract

We propose a new method to solve the occlusion problem efficiently in rigid target tracking by combining integral-intensity-matching algorithm with multi-block-voting algorithm. If the target is occluded, means some blocks are occluded and tracked falsely. Then we don't let the occluded blocks participate in voting and integral-intensity-matching calculation, and use the remainder unoccluded blocks which can represent target' attribute to track the target unceasingly. Experimental results show that the adopted two algorithms are complementary, and effective combination can achieve reliable tracking performance under heavy occlusion. [ABSTRACT FROM AUTHOR]

Published
2005
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