- A Data-Driven Approach to Quantifying Natural Human Motion
Liu Ren, Alton Patrick, Alexei A. Efros, Jessica K Hodgins, and Jim Rehg
ACM Transactions on Graphics (SIGGRAPH 2005), Vol. 24, No. 3, August, 2005,
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- Ambiguities in Visual Tracking of Articulated Objects Using Two- and Three-Dimensional Models
Jim Rehg, Daniel D. Morris, and Takeo Kanade
International Journal of Robotics Research, Vol. 22, No. 6, June, 2003, pp. 393 - 418.
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- Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays
Tat-Jen Cham, Jim Rehg, Rahul Sukthankar, and Gita Sukthankar
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, June, 2003, pp. 513 - 520.
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- Projected Light Displays Using Visual Feedback
Jim Rehg, M. Flagg, Tat-Jen Cham, Rahul Sukthankar, and Gita Sukthankar
Proceedings of the International Conference on Control, Automation, Robotics, and Vision, December, 2002, pp. 926 - 932.
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- Self-calibrating camera-projector systems for interactive displays and presentations
Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, Jim Rehg, J. Hsu, and T. Leung
Proceedings of the Eighth IEEE International Conference on Computer Vision, July, 2001.
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- Singularity Analysis for Articulated Object Tracking
Daniel D. Morris and Jim Rehg
Proceedings of CVPR '98, , June, 1998, pp. 289 - 296.
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- Singularities in Articulated Object Tracking with 2-D and 3-D Models
Jim Rehg and Daniel D. Morris
October, 1997.
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pdf (547KB) | Copyrighted
- Analyzing Articulated Motion Using Expectation-Maximization
Henry Rowley and Jim Rehg
IEEE Conference on Computer Vision and Pattern Recognition, June, 1997, pp. 935 - 941.
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- Model-Based Tracking of Self-Occluding Articulated Objects
Jim Rehg and Takeo Kanade
Proceedings of the Fifth International Conference on Computer Vision (ICCV '95), June, 1995, pp. 612-617.
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- Visual Analysis of High DOF Articulated Objects with Application to Hand Tracking
Jim Rehg
doctoral dissertation, tech. report CMU-CS-95-138, Computer Science Department, Carnegie Mellon University, April, 1995
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- DigitEyes: Vision-Based Hand Tracking for Human-Computer Interaction
Jim Rehg and Takeo Kanade
IEEE Workshop on Motion of Non-Rigid and Articulated Objects, November, 1994, pp. 16-22.
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- Visual Tracking of High DOF Articulated Structures: An Application to Human Hand Tracking
Jim Rehg and Takeo Kanade
Proceedings of the 3rd European Conference on Computer Vision (ECCV '94), May, 1994, pp. 35-46.
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- Visual Tracking of Self-Occluding Articulated Objects
Jim Rehg and Takeo Kanade
tech. report CMU-CS-94-224, Computer Science Department, Carnegie Mellon University, 1994
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pdf (356KB) | Copyrighted
- DigitEyes: Vision-Based Human Hand Tracking
Jim Rehg and Takeo Kanade
tech. report CMU-CS-93-220, Computer Science Department, Carnegie Mellon University, December, 1993
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- A Bayesian Multiple-Hypothesis Approach to Edge Grouping and Contour Segmentation
I. Cox, Jim Rehg, and S. Hingorani
International Journal of Computer Vision, Vol. 11, No. 1, August, 1993, pp. 5 - 24.
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- Visual Tracking with Deformation Models
Jim Rehg and Andrew Witkin
tech. report CMU-CS-90-156, Computer Science Department, Carnegie Mellon University, August, 1990
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pdf (770KB) | Copyrighted
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