Model-Based Multi-view Face Construction and Recognition in Videos
文献类型：会议论文
| 作者 | Chao Wang ; Yunhong Wang; Zhaoxiang Zhang; Yiding Wang
|
| 出版日期 | 2012-07-25 |
| 会议日期 | 25-29 July 2012 |
| 会议地点 | Huangshan, China |
| 关键词 | Face Recognition Video-based Face Recognition Image Stitching Active Appearance Model |
| 英文摘要 | Model-based face construction and recognition in videos is a fundamental topic in image processing and video representation, while analysis faces across multiple views is more challenging than that from a fixed view because of the severe non-linearity caused by rotation in depth, self-occlusion, self-shading and illumination. In this paper, a novel method is presented to model and recognize multi-view faces in video sequences. Firstly, we design a multi-view face model to extract the face feature points. Secondly, a hybrid tracking method integrated optical flow with mean shift is proposed to estimate the face posture. Then, by using faces’ paths in different view and feature points obtained from models, a multi-view face map is synthesized by reconstruction and stitching the paths together. Finally, recognition experiments are conducted to evaluate the performance of our proposed approach. |
| 会议录 | ICIC 2012
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13268]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Zhaoxiang Zhang |
| 推荐引用方式 GB/T 7714 | Chao Wang,Yunhong Wang,Zhaoxiang Zhang,et al. Model-Based Multi-view Face Construction and Recognition in Videos[C]. 见:. Huangshan, China. 25-29 July 2012. |
入库方式： OAI收割
来源：自动化研究所
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