Fast 3D tracking of non-rigid objects

A fast 3D tracking method of non-rigid objects is proposed. The method consists of fast ICP and modified RPM techniques for range images. By using the techniques, the authors aim real time 3D non-rigid object tracking. The authors developed an actual tracking system and show the effectiveness of the method by some experimental results.

[1]  Marc Levoy,et al.  Efficient variants of the ICP algorithm , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[2]  Hongbin Zha,et al.  3-dimensional object model construction from range images taken by a range finder on a mobile robot , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).

[3]  Dimitris N. Metaxas,et al.  Using tagged MRI to reconstruct a 3D heartbeat , 2000, Comput. Sci. Eng..

[4]  Peter Johannes Neugebauer,et al.  Geometrical cloning of 3D objects via simultaneous registration of multiple range images , 1997, Proceedings of 1997 International Conference on Shape Modeling and Applications.

[5]  Anand Rangarajan,et al.  A new algorithm for non-rigid point matching , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[6]  Martin D. Levine,et al.  Registering Multiview Range Data to Create 3D Computer Objects , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Dimitri Metaxas.  Deformable model and HMM-based tracking, analysis and recognition of gestures and faces , 1999, Proceedings International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems. In Conjunction with ICCV'99 (Cat. No.PR00378).

[9]  Gérard G. Medioni,et al.  Object modeling by registration of multiple range images , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[10]  Anand Rangarajan,et al.  The Softassign Procrustes Matching Algorithm , 1997, IPMI.

[11]  V. Brajovic,et al.  100 frames/s CMOS range image sensor , 2001, 2001 IEEE International Solid-State Circuits Conference. Digest of Technical Papers. ISSCC (Cat. No.01CH37177).

[12]  Eric Mjolsness,et al.  A relationship between spline-based deformable models and weighted graphs in non-rigid matching , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[13]  Dimitris N. Metaxas,et al.  The integration of optical flow and deformable models with applications to human face shape and motion estimation , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[14]  Anand Rangarajan,et al.  Non-rigid point matching: algorithms, extensions and applications , 2001 .

[15]  Ioannis A. Kakadiaris,et al.  Model-based estimation of 3D human motion with occlusion based on active multi-viewpoint selection , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.