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Page 140
... operations , global and local operations , are fre- quently encountered in image processing . A local operation , such as laplacian , is a computation in which each output is produced by a computation on a small area of the inputs . A ...
... operations , global and local operations , are fre- quently encountered in image processing . A local operation , such as laplacian , is a computation in which each output is produced by a computation on a small area of the inputs . A ...
Page 142
... operations can be defined by a complete bipartite graph with four nodes . 2.3 . Higher - Dimensional Perfect Shuffle ... operations : Scroll operations control the movement of the image on the screen . The operations include x - scroll ...
... operations can be defined by a complete bipartite graph with four nodes . 2.3 . Higher - Dimensional Perfect Shuffle ... operations : Scroll operations control the movement of the image on the screen . The operations include x - scroll ...
Page 299
... operations are two fundamen- tal classes of algorithms for computer vision . This paper develops a generalized convolution algorithm to process the regular convo- lution , the binary morphological operation and the gray level ...
... operations are two fundamen- tal classes of algorithms for computer vision . This paper develops a generalized convolution algorithm to process the regular convo- lution , the binary morphological operation and the gray level ...
Contents
Depth from Three Camera Stereo | 2 |
The Calibration Problem for Stereo | 15 |
Model Based Analysis of Industrial Scenes | 28 |
Copyright | |
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affine transform algorithm analysis angle applied approach approximation array Artificial Intelligence axis binary boundary calibration camera clustering component Computer Vision connected constraints contour convolution coordinate system corresponding curvature curve defined derivative described detector determined direction edge detection elements equation error estimate filter function Gaussian geometric given gradient histogram Hough transform IEEE IEEE Trans image plane Image Processing implementation input label line segments linear machine machine vision matching matrix measure merging method motion node noise object obtained octree operations optical flow orientation output parallel parameters Pattern Recognition perspective projection pixel planar polygon problem Proc procedure processors projection quadtree region representation rotation scene shape SIMD smoothing solution space step stereo structure surface surface normal technique template tensor texture Theorem threshold tion transformation tree values vector visual window zero-crossings