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Design and Realization of Stereo Vision Module For 3D Facial Expression Tracking  

Lee, Mun-Hee (Advanced industry Team, Daegu-Gyeongbuk development Institute)
Kim, Kyong-Sok (Dept of Computer Science and Engineering, Pusan National University)
Publication Information
Journal of Broadcast Engineering / v.11, no.4, 2006 , pp. 533-540 More about this Journal
Abstract
In this study we propose to use a facial motion capture technique to track facial motions and expressions effectively by using the stereo vision module, which has two CMOS IMAGE SENSORS. In the proposed tracking algorithm, a center point tracking technique and correlation tracking technique, based on neural networks, were used. Experimental results show that the two tracking techniques using stereo vision motion capture are able to track general face expressions at a 95.6% and 99.6% success rate, for 15 frames and 30 frames, respectively. However, the tracking success rates(82.7%,99.1%) of the center point tracking technique was far higher than those(78.7%,92.7%) of the correlation tracking technique, when lips trembled.
Keywords
Motion Capture; Multi-marker Tracking; facial animation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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