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Model-Based Multi-view Face Construction and Recognition in Videos
Chao Wang; Yunhong Wang; Zhaoxiang Zhang; Yiding Wang
Conference NameInternational Conference on Intelligent Computing
Source PublicationICIC 2012
Conference Date25-29 July 2012
Conference PlaceHuangshan, China
AbstractModel-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.
KeywordFace Recognition Video-based Face Recognition Image Stitching Active Appearance Model
Document Type会议论文
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Chao Wang,Yunhong Wang,Zhaoxiang Zhang,et al. Model-Based Multi-view Face Construction and Recognition in Videos[C],2012.
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