Robust facial feature tracking under varying face pose and facial expression

13 years 3 months ago

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This paper presents a hierarchical multi-state pose-dependent approach for facial feature detection and tracking under varying facial expression and face pose. For effective and efﬁcient representation of feature points, a hybrid representation that integrates Gabor wavelets and gray-level proﬁles is proposed. To model the spatial relations among feature points, a hierarchical statistical face shape model is proposed to characterize both the global shape of human face and the local structural details of each facial component. Furthermore, multi-state local shape models are introduced to deal with shape variations of some facial components under different facial expressions. During detection and tracking, both facial component states and feature point positions, constrained by the hierarchical face shape model, are dynamically estimated using a switching hypothesized measurements (SHM) model. Experimental results demonstrate that the proposed method accurately and robustly tracks f...

Yan Tong, Yang Wang 0002, Zhiwei Zhu, Qiang Ji

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