CASIA OpenIR  > 09年以前成果
3D face recognition by constructing deformation invariant image
Li, Li1; Xu, Chenghua2; Tang, Wei1; Zhong, Cheng3
发表期刊PATTERN RECOGNITION LETTERS
2008-07-15
卷号29期号:10页码:1596-1602
文章类型Article
摘要Based on the observation that facial surfaces across different expressions can be modeled as similar isometric transformations, in this paper a novel deformation invariant image for robust 3D face recognition is proposed. First, we obtain the depth image and the intensity image from the original 3D facial data. Then, geodesic level curves are generated by constructing radial geodesic distance image from the depth image. Finally, deformation invariant image is constructed by evenly sampling points from the selected geodesic level curves in the intensity image. Our experiments are based on the 3D CASIA Face Database, which includes 123 individuals with complex expressions. Experimental results show that our proposed method substantially improves the recognition performance under various facial expressions. (C) 2008 Elsevier B.V. All rights reserved.
关键词3d Face Recognition Facial Expression Isometric Transformation Geodesic Distance Biometrics
WOS标题词Science & Technology ; Technology
关键词[WOS]EXPRESSION
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000257375300016
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/173211/9536
专题09年以前成果
作者单位1.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
2.Nufront Software Corp, Beijing 100084, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Li, Li,Xu, Chenghua,Tang, Wei,et al. 3D face recognition by constructing deformation invariant image[J]. PATTERN RECOGNITION LETTERS,2008,29(10):1596-1602.
APA Li, Li,Xu, Chenghua,Tang, Wei,&Zhong, Cheng.(2008).3D face recognition by constructing deformation invariant image.PATTERN RECOGNITION LETTERS,29(10),1596-1602.
MLA Li, Li,et al."3D face recognition by constructing deformation invariant image".PATTERN RECOGNITION LETTERS 29.10(2008):1596-1602.
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