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Seitz, Steven M.
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Shape and spatially-varying BRDFs from photometric stereo
Goldman D., Curless B., Hertzmann A., Seitz S. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(6): 1060-1071, 2010. Type: Article
Goldman et al. offer in this paper an alternative and novel method for recovering shape and varying surface bidirectional reflectance distribution functions (BRDF) from a set of images. This is a well-written and suitably organized pap...
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Jan 3 2011
Estimating optimal parameters for MRF stereo from a single image pair
Zhang L., Seitz S. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(2): 331-342, 2007. Type: Article
The correspondence problem in stereo vision involves obtaining a disparity map, which represents the differences between the positions of matching pixels in two stereo images. Markov random fields (MRFs) are widely used to model vision...
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Jun 20 2007
Motion sketching for control of rigid-body simulations
Popović J., Seitz S., Erdmann M. ACM Transactions on Graphics (TOG) 22(4): 1034-1054, 2003. Type: Article
Motion sketching is an approach to creating realistic rigid-body motions, which are described by a system of ordinary differential equations. A rigid-body simulator integrates the equations of motions, detects collisions, and applies i...
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Jan 16 2004
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