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Video and Display Technologies

Empirical mode decomposition-based facial pose estimation inside video sequences

[+] Author Affiliations
Chunmei Qing

University of Bradford,Digital Media and Systems Research Institute, Bradford BD7 1DP, United Kingdom

Zhijing Yang

Sun-yet Sen University,School of Mathematics and Computing Science, Guangzhou, 510275 China

Jianmin Jiang

University of Bradford,Digital Media and Systems Research Institute, Bradford BD7 1DP, United Kingdom

Opt. Eng. 49(3), 037401 (August 25, 2009January 14, 2010January 16, 2010March 22, 2010March 22, 2010). doi:10.1117/1.3359510
History: Received August 25, 2009; Revised January 14, 2010; Accepted January 16, 2010; Published March 22, 2010; Online March 22, 2010
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We describe a new pose-estimation algorithm via integration of the strength in both empirical mode decomposition (EMD) and mutual information. While mutual information is exploited to measure the similarity between facial images to estimate poses, EMD is exploited to decompose input facial images into a number of intrinsic mode function (IMF) components, which redistribute the effect of noise, expression changes, and illumination variations as such that, when the input facial image is described by the selected IMF components, all the negative effects can be minimized. Extensive experiments were carried out in comparisons to existing representative techniques, and the results show that the proposed algorithm achieves better pose-estimation performances with robustness to noise corruption, illumination variation, and facial expressions.

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© 2010 Society of Photo-Optical Instrumentation Engineers

Topics

Databases ; Video

Citation

Chunmei Qing ; Zhijing Yang and Jianmin Jiang
"Empirical mode decomposition-based facial pose estimation inside video sequences", Opt. Eng. 49(3), 037401 (August 25, 2009January 14, 2010January 16, 2010March 22, 2010March 22, 2010). ; http://dx.doi.org/10.1117/1.3359510


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