Proceedings, Volume 1
This two-volume set contains the proceedings of the July 2001 conference on computer vision. The 205 papers discuss sensors and early vision, stereo and multiple views, segmentation and matching, learning in vision, shape representation and recovery, stereo and multiple views, segmentation and matching, object recognition, tracking, video analysis, reflectance, image databases, vision systems and texture, and demo overviews. There is no subject index. The included CD-ROM contains a full version of the proceedings. c. Book News Inc.
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High Dynamic Range Panoramic Imaging
4Sensor Camera Calibration for Image Representation Invariant to Shading Shadows
A Variational Model for FillingIn Gray Level and Color Images
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active contour algorithm analysis angle aperture applied approach boundary calibration camera color component Computer Vision constraints coordinates corresponding covariance curve defined denote depth map derived detection distance distribution edge eigenvectors epipolar epipolar geometry equation error estimation Euclidean example feature Figure filter frame function fundamental matrix Gaussian geometric given global gradient graph homography IEEE illumination image points image segmentation image sequence input kernel lens light-field linear matching matrix measure method minimal mosaics motion multiple myocardium noise normal object obtained occlusion optical flow optimal pair paper parallelepiped parameters Pattern Recognition pixels planar plane pose problem Proc projection proposed rays reconstruction recover region representation robust rotation sample scale scale-space scene segmentation sensor shadow shape shown shows space specular reflection stereo structure surface technique texton texture tion tracking transformation values vector vector field velocity views voxel