[2] Nanyang Technol Univ, Inst Media Innovat, Singapore, Singapore
[3] NUDT, Sch Elect Sci & Engn, Changsha, Peoples R China
来源:
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
|
2011年
关键词:
Model Acquistion;
Pose Tracking;
Volumetric Reconstruction;
Scene Flow;
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:
We present a markerless system for recovering 3D full-body motion from multiple image sequences. Our approach supports robust pose tracking from 3D data as well as automatic body model acquisition. For initialization, a subject-specific voxel body model that fits well to the shape of the subject being tracked is automatically created from the beginning volume. Then for pose recovery, the voxel body model is matched to the image features via a hierarchical pose search method. We use a new particle based stochastic search algorithm and introduce a robust metric, which is incorporated with joint limits, physical constraints and fuses multiple 3D cues involving volume spatial and 3D scene flow motion information. Results on several complex multiple sequences show the robustness and effectiveness of our approach.