Proceedings, Page 2334, Volume 1Computer Society Press of the IEEE, 2005 - Computer vision |
Contents
Detection and Tracking of Moving Objects from a Moving Platform in Presence of Strong Parallax | 10 |
Simultaneous Multiple 3D Motion Estimation via Mode Finding on Lie Groups | 18 |
Separating Transparent Layers of Repetitive Dynamic Behaviors | 26 |
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Common terms and phrases
AdaBoost albedo algorithm analysis applied approach Bayesian belief propagation BGLAMs boundary BRDF calibration camera classification coefficients Computer Vision constraint contour corresponding CVPR data set database defined denote depth detection detector distance distribution edge epipolar equation error estimate evaluate example face recognition factor filter frame function fundamental matrix Gaussian geometric global gradient graph cuts Hilbert function IEEE illumination input iteration kernel label learning light source likelihood linear matching matrix measure method minimization motion multiple mutual information nodes noise normal object obtained occlusion optical flow optimization pair parameters particle filter patches performance photometric stereo pixels plane points pose prior problem Proc projection proposed RANSAC reconstruction recovered regions robust rotation samples scale scene Section segmentation shadow shape shown in Figure shows space spatial spectral clustering statistics structure subspace surface surface normals techniques template texture tion tracking vector visual visual hull