Incremental multi-view face tracking based on general view manifold

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

A novel incremental multi-view face tracking algorithm is proposed in the graphic model, which includes a general view manifold and specific incremental face model. We extend a general view manifold to the state-space model of face tracking to represent the view continuity and nonlinearity in the video data. Particularly, a global constraint on the overall appearance of the tracked multi-view faces is defined based on the point-to-manifold distance to avoid drifting. This novel face tracking model can successfully track faces under unseen views, and experimental results proved the new method is superior to two state-of-art algorithms for multi-view face tracking.

源语言英语
主期刊名Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers
150-159
页数10
版本PART 2
DOI
出版状态已出版 - 2010
活动9th Asian Conference on Computer Vision, ACCV 2009 - Xi'an, 中国
期限: 23 9月 200927 9月 2009

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号PART 2
5995 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议9th Asian Conference on Computer Vision, ACCV 2009
国家/地区中国
Xi'an
时期23/09/0927/09/09

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