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2008

Head Yaw Estimation From Asymmetry of Facial Appearance

9 years 10 months ago
Head Yaw Estimation From Asymmetry of Facial Appearance
This paper proposes a novel method to estimate the head yaw rotations based on the asymmetry of 2-D facial appearance. In traditional appearance-based pose estimation methods, features are typically extracted holistically by subspace analysis such as principal component analysis, linear discriminant analysis (LDA), etc., which are not designed to directly model the pose variations. In this paper, we argue and reveal that the asymmetry in the intensities of each row of the face image is closely relevant to the yaw rotation of the head and, at the same time, evidently insensitive to the identity of the input face. Specifically, to extract the asymmetry information, 1-D Gabor filters and Fourier transform are exploited. LDA is further applied to the asymmetry features to enhance the discrimination ability. By using the simple nearest centroid classifier, experimental results on two multipose databases show that the proposed features outperform other features. In particular, the generaliza...
Bingpeng Ma, Shiguang Shan, Xilin Chen, Wen Gao
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where TSMC
Authors Bingpeng Ma, Shiguang Shan, Xilin Chen, Wen Gao
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