Proceedings 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition: June 21-23, 1994, Seattle, Washington |
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Page 31
... illumination plan- ning for robust object recognition in structured environ- ments . Given a set of objects , the goal is to determine the illumination for which the objects are most distinguishable in appearance from each other . For ...
... illumination plan- ning for robust object recognition in structured environ- ments . Given a set of objects , the goal is to determine the illumination for which the objects are most distinguishable in appearance from each other . For ...
Page 32
... illumination produces the highest recognition rate . The paper is concluded with a discussion on the merits and limitations of the proposed method . 2 Illumination Planning In this section , we discuss the problem of finding optimal ...
... illumination produces the highest recognition rate . The paper is concluded with a discussion on the merits and limitations of the proposed method . 2 Illumination Planning In this section , we discuss the problem of finding optimal ...
Page 365
... illumination There are several simplified special forms of the inci- dent light energy field function that represent useful mod- els of illumination . Recall that the general form of the global incident light function is given by L ...
... illumination There are several simplified special forms of the inci- dent light energy field function that represent useful mod- els of illumination . Recall that the general form of the global incident light function is given by L ...
Contents
Unifying Line Processes and Robust Statistics | 15 |
Object Recognition 1 | 30 |
Feature Matching for Building Extraction from Multiple Views | 46 |
Copyright | |
86 other sections not shown
Common terms and phrases
affine transformation algorithm analysis angle approach approximation B-spline boundary camera components Computer Vision constraints coordinates corresponding curvature curve defined deformation depth derivatives described detection determined diffuse diffuse reflection direction edge eigenface equation error extracted facial filter frame function Gaussian Gaussian curvature geometric global gradient hypotheses IEEE illumination image registration indexing input invariant iteration kernel labeling light source linear matching matrix measure method minimizing module motion estimation nodes noise normal object recognition obtained optical flow optimal outliers parameters Pattern performance pixel plane points pose problem projection pyramid reconstruction recovered reflectance map regions representation robot robust rotation s-map scale scale-space scene segments sequence shape shown in Figure shows smooth solution space spatial specular specular reflection stereo structure superquadrics surface normal surface reconstruction technique texture tion vector velocity vertical viewpoint visible rim visual