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3D Face Tracking using Particle Filter based on MLESAC Motion Estimation  

Sung, Ha-Cheon (연세대학교 컴퓨터과학과)
Byun, Hye-Ran (연세대학교 컴퓨터과학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.8, 2010 , pp. 883-887 More about this Journal
Abstract
3D face tracking is one of essential techniques in computer vision such as surveillance, HCI (Human-Computer Interface), Entertainment and etc. However, 3D face tracking demands high computational cost. It is a serious obstacle to applying 3D face tracking to mobile devices which usually have low computing capacity. In this paper, to reduce computational cost of 3D tracking and extend 3D face tracking to mobile devices, an efficient particle filtering method using MLESAC(Maximum Likelihood Estimation SAmple Consensus) motion estimation is proposed. Finally, its speed and performance are evaluated experimentally.
Keywords
3D face tracking; MLESAC; motion estimation; particle filter;
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