中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
3D Face Reconstruction and Dynamic Feature Extraction for Pose-Invariant Face Recognition

文献类型:会议论文

作者Shao, Xiaohu; Zhou, Xi; Cheng, Cheng; Han, Tony X.
出版日期2013
会议日期DEC 01-02, 2013
会议地点Singapore, SINGAPORE
页码119-122
通讯作者Shao, XH (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Automated Reasoning & Cognit Key Lab Chongqing, Chongqing, Peoples R China.
英文摘要In this paper, we present a pose invariant face recognition framework leveraged on 3D face reconstruction and dynamic feature extraction. First, we synthesize the virtual frontal face from the probe face based on 3D face reconstruction. In the initialization of reconstruction, a tree-structured model is applied to detect landmark points from a 2D image and a hierarchical gaussianization (HG) based method is used for pose estimation. Second, in the recognition step, we present a dynamic feature extraction method to improve the recognizer, which measure the similarity between the synthesized the virtual face and the probe face. Recognition experiments are carried on the Multi-PIE, and CIGIT Face databases. The experimental results show that our system significantly improves the accuracy of face recognition, especially for the faces with extreme poses.
会议录PROCEEDINGS OF THE 2ND INTERNATIONAL SYMPOSIUM ON COMPUTER, COMMUNICATION, CONTROL AND AUTOMATION
语种英语
ISSN号1951-6851
WOS记录号WOS:000335510100030
源URL[http://119.78.100.138/handle/2HOD01W0/399]  
专题智能安全技术研究中心
作者单位(1) Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Automated Reasoning & Cognit Key Lab Chongqing, Chongqing, Peoples R China; (2) Univ Missouri, Elect & Comp Engn Dept, Columbia, MO 65211 USA
推荐引用方式
GB/T 7714
Shao, Xiaohu,Zhou, Xi,Cheng, Cheng,et al. 3D Face Reconstruction and Dynamic Feature Extraction for Pose-Invariant Face Recognition[C]. 见:. Singapore, SINGAPORE. DEC 01-02, 2013.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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