KMS Chongqing Institute of Green and Intelligent Technology, CAS
| 3D Face Reconstruction and Dynamic Feature Extraction for Pose-Invariant Face Recognition | |
Shao, Xiaohu ; Zhou, Xi; Cheng, Cheng; Han, Tony X.
| |
| 2013 | |
| 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. |
| 语种 | 英语 |
| 会议(录)名称 | PROCEEDINGS OF THE 2ND INTERNATIONAL SYMPOSIUM ON COMPUTER, COMMUNICATION, CONTROL AND AUTOMATION
 |
| 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. |
| 收录类别 | ISTP |
| 会议地点 | Singapore, SINGAPORE |
| 会议日期 | DEC 01-02, 2013 |
