3D Face Reconstruction and Dynamic Feature Extraction for Pose-Invariant Face Recognition
文献类型:会议论文
作者 | Shao, Xiaohu![]() |
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
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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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