Machine Vision: Algorithms, Architectures, and Systems |
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Page 219
... Pattern Recognition , Jul.30 - Aug.2 , p . 203-206 , 1984 . [ 17 ] G. Stockman and G. Hu , Sensing 3 - D Surface Patches Using a Projected Grid , IEEE Computer Society Conference on Com- puter Vision and Pattern Recognition , Miami ...
... Pattern Recognition , Jul.30 - Aug.2 , p . 203-206 , 1984 . [ 17 ] G. Stockman and G. Hu , Sensing 3 - D Surface Patches Using a Projected Grid , IEEE Computer Society Conference on Com- puter Vision and Pattern Recognition , Miami ...
Page 253
... Pattern Anal . Machine Intell . , Jan. 1 , 1986 , PAMI - 9 , p . 39–55 ... Recognition Conference , Miami , Fla . , June 22-26 , 1986 , IEEE - CS , p ... Pattern Recognition Conference , Ar- lington , Va . , 1983 , p . 8–13 . [ 18 ] O. D. ...
... Pattern Anal . Machine Intell . , Jan. 1 , 1986 , PAMI - 9 , p . 39–55 ... Recognition Conference , Miami , Fla . , June 22-26 , 1986 , IEEE - CS , p ... Pattern Recognition Conference , Ar- lington , Va . , 1983 , p . 8–13 . [ 18 ] O. D. ...
Page 254
... Pattern Recognition Munich , West Germany , Oct. 19– 22 , 1982. p . 836-838 . [ 24 ] T. C. Henderson and B. Bhanu . Three - point seed method for the extraction of planar faces from range data . In Proceedings of Workshop on Industrial ...
... Pattern Recognition Munich , West Germany , Oct. 19– 22 , 1982. p . 836-838 . [ 24 ] T. C. Henderson and B. Bhanu . Three - point seed method for the extraction of planar faces from range data . In Proceedings of Workshop on Industrial ...
Contents
Introducing Local Autonomy to Processor Arrays | 31 |
Integrating Vision Modules on a FineGrained | 57 |
Computer Architectures for Machine Vision | 97 |
Copyright | |
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algorithm analysis applications architectures array Artificial Intelligence Automation autonomy Besl boundaries camera circuit complex component Computer Vision Connection Machine constraints contours curve described developed edge detection elements encoding example filament filter flaw Gaussian geometric global goal node graph grid junctions hardware hypercube IEEE image data image plane image processing image segmentation implemented input integrated label image machine vision machine vision systems manipulator Markov Random Field matching measures method microcode noise object operations optical flow order R-TREE orientation parallel path Pattern Recognition performance pipeline pixels position primitives problem processors projected pyramid R-TREES range images representation represented Research resolution robot sample scan scene seed region segmentation selected sensor sequence shape shown in Figure SIMD smart sensing space spatial stripes surface fitting surface normal surface structures surface type label task techniques texture threshold tion Tomaso Poggio vision modules visual