STEREO BASED 3D HEAD POSE TRACKING USING THE SCALE INVARIANT FEATURE TRANSFORM

被引：0
|
作者：
Akan, Batu [1 ]
Cetin, Muejdat [1 ]
Ercil, Aytuel [1 ]
机构：
[1] Sabanci Univ, Muhendisl & Doga Bilimleri Fak, Istanbul, Turkey
来源：
2008 IEEE 16TH SIGNAL PROCESSING, COMMUNICATION AND APPLICATIONS CONFERENCE, VOLS 1 AND 2 | 2008年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper a new stereo-based 3D head tracking technique, based on scale-invariant feature transform (SIFT) features is proposed. A 3D head tracker is very important preprocessing for many vision applications. The proposed method is robust to out of plane rotations and translations and also invariant to sudden changes in time varying illumination. We present experiments to test the accuracy of our SIFT based 3D tracker on sequences of synthetic and real stereo images.
引用
收藏
页码：661 / 664
页数：4
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