作者: Chao Wang , Yunhong Wang , Zhaoxiang Zhang , Yiding Wang
DOI: 10.1007/978-3-642-31576-3_37
关键词:
摘要: Model-based face construction and recognition in videos is a fundamental topic image processing video representation, while analysis faces across multiple views more challenging than that from fixed view because of the severe non-linearity caused by rotation depth, self-occlusion, self-shading illumination. In this paper, novel method presented to model recognize multi-view sequences. Firstly, we design extract feature points. Secondly, hybrid tracking integrated optical flow with mean shift proposed estimate posture. Then, using faces' paths different points obtained models, map synthesized reconstruction stitching together. Finally, experiments are conducted evaluate performance our approach.