Computer Vision
Thursday, 12 August
1:45 - 3:30 pm
Room 515A
Session Chair: Baining Guo, Microsoft Research Asia

Interactive Scene Modeling From Dense Color and Sparse Depth A fast, easy-to-use, and inexpensive modeling system that builds scene models that support realistic interactive rendering from a wide range of viewing locations. Gleb Bahmutov Purdue University bahmutov (at) cs.purdue.edu Elisha Sacks Voicu Popescu Purdue University
Towards a Unified Approach to 3D Environment Capture and Rendering A system for unifying contemporary image-based modeling and laser scanning techniques for scene acquisition and rendering. Gordon Watson University of Edinburgh g.c.watson (at) ed.ac.uk Bruce Lamond University of Edinburgh
Extracting Face Bump Maps From Video Capture of bump maps for human faces using inexpensive hardware. This system tracks the head rather than moving the light source, so photometric stereo can be used with a static light source. James Paterson Oxford University jamie (at) robots.ox.ac.uk Andrew Fitzgibbon Oxford University
Learning Silhouette Features for Control of Human Motion A vision-based performance interface for controlling animated human characters. Liu Ren Carnegie Mellon University liuren (at) cs.cmu.edu Gregory Shakhnarovich Massachusetts Institute of Technology Jessica K. Hodgins Carnegie Mellon University Hanspeter Pfister Mitsubishi Electric Research Laboratories Paul Viola Microsoft Research