Intelligent Robots and Computer Vision: Seventh in a Series, 7-11 November 1988, Cambridge, MassachusettsDavid Paul Casasent |
Contents
PATTERN RECOGNITION | 1 |
BOUNDARY DESCRIPTION | 67 |
IMAGE PROCESSING | 117 |
Copyright | |
4 other sections not shown
Common terms and phrases
algorithm analysis applications approach approximation background binary boundary camera chain code classification color components Computer Vision constraints convex cone coordinate corresponding curvature curves defined described detection discrete cosine transform edge engineering environment equation error estimation example filter fractal function fuzzy Gaussian Gaussian curvature geometric graph Hough transform IEEE IEEE Trans image processing implemented input image Intelligence layer learning linear manipulator mapping matching mean curvature method module motion neural network node noise object recognition operator optical fiber orientation output parallel parameters Pattern Recognition perception performance pixels planar position problem Proc procedure processor protofeature quadtree range image regions representation represented robot rotation sample SAN DIEGO scale scale-space scene sensor sequence shape signal simulation solution space spatial structure subsumption architecture subtask surface target task techniques telerobot threshold transformation vector vertex vision system visual