Learning effective intrinsic features to boost 3D-based face recognition

CASIA OpenIR > 09年以前成果

	Learning effective intrinsic features to boost 3D-based face recognition
	Xu, Chenghua ; Tan, Tieniu; Li, Stan; Wang, Yunhong ; Zhong, Cheng ; Leonardis, A ; Bischof, H ; Pinz, A
发表期刊	COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS
	2006
卷号	3952 页码:416-427
文章类型	Article
摘要	3D image data provide several advantages than 2D data for face recognition and overcome many problems with 2D intensity images based methods. In this paper, we propose a novel approach to 3D-based face recognition. First, a novel representation, called intrinsic features, is presented to encode local 3D shapes. It describes complementary nonrelational features to provide an intrinsic representation of faces. This representation is extracted after alignment, and is invariant to translation, rotation and scale. Without reduction, tens of thousands of intrinsic features can be produced for a face, but not all of them are useful and equally important. Therefore, in the second part of the work, we introduce a learning method for learning most effective local features and combining them into a strong classifier using an AdaBoost learning procedure. Experimental results are performed on a large 3D face database obtained with complex illumination, pose and expression variations. The results demonstrate that the proposed approach produces consistently better results than existing methods.
WOS标题词	Science & Technology ; Technology
关键词[WOS]	MODEL
收录类别	ISTP ; SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000237555200032
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9379
专题	09年以前成果
作者单位	1.Chinese Acad Sci, Inst Automat, CBSR, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China 3.Beihang Univ, Sch Comp Sci & Engn, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Xu, Chenghua,Tan, Tieniu,Li, Stan,et al. Learning effective intrinsic features to boost 3D-based face recognition[J]. COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS,2006,3952:416-427.
APA	Xu, Chenghua.,Tan, Tieniu.,Li, Stan.,Wang, Yunhong.,Zhong, Cheng.,...&Pinz, A.(2006).Learning effective intrinsic features to boost 3D-based face recognition.COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS,3952,416-427.
MLA	Xu, Chenghua,et al."Learning effective intrinsic features to boost 3D-based face recognition".COMPUTER VISION - ECCV 2006, PT 2, PROCEEDINGS 3952(2006):416-427.