An iterative closest point algorithm for tracking articulated models in 3D range scans

Proceedings of the 2005 Summer Bioengineering Conference

Volumn 2005, Issue , 2005, Pages 1586-1587

  Anguelov, Dragomir ^a   Mündermann, Lars ^a   Corazza, Stefano ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33646549585     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. Bregler C., Malik J., 1999, "Tracking people with twists and exponential maps", Proceedings of the IEEE conference on Computer Vision and Pattern Recognition.
3. Mündermann, L., Corazza, S., Chaudhari, A. M., Alexander, E. J., and Andriacchi, T. P., 2005, "Most favorable camera configuration for a shape-from-silhouette markerless motion capture system for biomechanical analysis", Videometrix VIII, IS&T/SPIE 17th Annual Symposium, Vol. 5665, San Jose, CA.
4. Besl P., Mckay N., 1992, "A method for registration of 3D shapes", Transactions on Pattern Analysis and Machine Intelligence, 14-2.
5. Rusinkiewicz S., Levoy M., 2001, "Efficient variants of the ICP algorithm", Proceedings of the International Conference on 3-D Digital Imaging and Modeling (3DIM).
6. Ma Y., Soatto S., Kosecka, Y., Sastry S., 2004, "An invitation to 3D vision", Springer Verlag.
7. Mündermann, L., Corazza, S., Anguelov, D., and Andriacchi, T. P, 2005, " Estimation of the accuracy and precision of 3D human body kinematics using markerless motion capture and articulated ICP", submitted to ASME/SBC 2005, Vail, CO.