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	Multi-view face pose estimation based on supervised ISA learning
	Li, Stan Z. ; Peng, Xianhuan ; Hou, Xinwen ; Zhang, Hongjiang ; Cheng, Qiansheng
	2002
英文摘要	Independent subspace analysis (ISA) is able to learn view-subspaces unsupervisedly from (view-unlabeled) multi-view face examples (S.Z. Li et al., 2001). We explain underlying reasons for the emergent formation of ISA view-subspaces. Based on the analysis, we present a supervised method for more effective learning of view-subspace, assuming that view-labeled face examples are available. The models thus learned give more accurate pose estimation than those obtained with the unsupervised ISA. ? 2002 IEEE.; EI; 0
语种	英语
出处	EI
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/330343]
专题	数学科学学院
推荐引用方式 GB/T 7714	Li, Stan Z.,Peng, Xianhuan,Hou, Xinwen,et al. Multi-view face pose estimation based on supervised ISA learning. 2002-01-01.

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