CAS OpenIR  > 中科院上海应用物理研究所2004-2010年
Feature reconstruction for face recognition based on sample image learning
Zhang, HZ; Li, YP(李勇平); Wang, L; Wang, CB(王呈波)
2007
Conference NameWorld Congress on Engineering 2007
Source PublicationWorld Congress on Engineering 2007, Vols 1 and 2
Pages674
Conference DateJUL 02-04, 2007
Conference PlaceLondon, ENGLAND
AbstractPose problem is a big challenge for applying face recognition technology under real world conditions. In this paper, proposed to recognize face across appearance based a proach was pro front and non-frontal view images by reconstructing frontal view features. Statistical learning method based on sample images is applied to find transformation matrix which encapsulated general , knowledge of pose transition in feature subspace,therefore, different view feature vectors constituted linear equations and transformation matrix can be solved from the equations by least square (LS) approach. Experimental results on popular FERET and CMU databases showed that the proposed method could cope with the head rotation roughly within half profile view. Compared with model based approaches, this method is not dependent on. heavy computation and has merit of easy implementing in live conditions.
ISBN978-988-98671-5-7
Indexed BySCI
Funding Project应物所课题组
Language英语
Document Type会议论文
Identifierhttp://ir.sinap.ac.cn/handle/331007/8843
Collection中科院上海应用物理研究所2004-2010年
Recommended Citation
GB/T 7714
Zhang, HZ,Li, YP,Wang, L,et al. Feature reconstruction for face recognition based on sample image learning[C],2007:674.
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