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Precise eye location using Dempster Shafer theory
Gao, Yong; Wang, Yangsheng
2007
发表期刊INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING
卷号5期号:1页码:129-143
文章类型Article
摘要Eye location is an important step in automatic visual interpretation and face recognition. In this paper, we present a novel eye location algorithm based on Dempster-Shafer's evidential reasoning. Four eye detectors are trained by AdaBoost with different combinations of feature spaces and samples. They detect face region respectively and produce an eye candidate set, then two of the four eye detectors calculate the confidence of every eye candidate. The confidence is converted to belief and plausibility. We use the combining rule to obtain combined belief and plausibility of each eye candidate, which represent the fusion information of the two eye detectors. The centers of eye candidates with great plausibility are considered as actual eye centers. Experimental results on several open face databases demonstrate that our method is precise, robust and has less computational complexity than other newly proposed ones.
关键词Eye Location d s Theory Adaboost
WOS标题词Science & Technology ; Technology ; Physical Sciences
关键词[WOS]FACE-RECOGNITION ; PROJECTION
收录类别SCI
语种英语
WOS研究方向Computer Science ; Mathematics
WOS类目Computer Science, Software Engineering ; Mathematics, Interdisciplinary Applications
WOS记录号WOS:000250844100010
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9460
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Gao, Yong,Wang, Yangsheng. Precise eye location using Dempster Shafer theory[J]. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,2007,5(1):129-143.
APA Gao, Yong,&Wang, Yangsheng.(2007).Precise eye location using Dempster Shafer theory.INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,5(1),129-143.
MLA Gao, Yong,et al."Precise eye location using Dempster Shafer theory".INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING 5.1(2007):129-143.
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