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.
35 pages matching epipolar geometry in this book
Results 1-3 of 35
What people are saying - Write a review
We haven't found any reviews in the usual places.
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
114 other sections not shown
Other editions - View all
affine affine transformation algorithm analysis applied approach approximation background BRDF bundle adjustment calibration camera capture catadioptric system cluster coefficients color components Computer Vision Conf constraints contour coordinates corresponding covariance covariance matrix curve defined deformation denote density detection dimensional distance distribution dynamic edge eigenvectors epipolar epipolar geometry equation error estimation feature Figure frame function fundamental matrix Gaussian geometry given histogram homography IEEE illumination image segmentation input image intensity invariant lens likelihood linear matching matrix measure method minimization motion multiple noise normal object observed obtained occlusion optical optimal parameters particle filter Pattern Recognition pixel planar plane problem Proc projection reconstruction reflectance region representation robust rotation samples scale space scene segmentation sensor sequence shape shown shows solution spatial specular statistics stereo structure subspace surface surface normal technique texture tion tracking transformation values vector viewpoint visual