Active Perception and Robot VisionArun K. Sood, Harry Wechsler |
Contents
Motion Understanding Systems | 1 |
Reflections on Active Machine Vision | 23 |
H H Nagel | 41 |
Copyright | |
27 other sections not shown
Other editions - View all
Common terms and phrases
active algorithm analysis approach approximation architecture Artificial Intelligence autonomous axis behavioral boundary camera cell components Computer Vision constraints contour convex coordinate corresponding curvature curve defined depth derived described detection direction displacement vector dynamic edge detection equation error estimate extraction feature feature extraction Figure filter function Gaussian gradient haptic hierarchy histogram Hough transform IEEE Image Processing image sequence implemented input intersection invariant Kalman filter linear Machine machine vision matching measurement method mobile robot module motion nodes noise object obtained operator optical flow optimal orientation Panoramic Pattern perception performed pixels planar plane position predicted problem Proc processors projection recognition reconstruction region representation represented robot vision rotation saccade scale scale-space scene segments sensors shape shown smoothing spatial step structure superquadric surface task techniques template temporal tombolo Tsotsos values vector vectorfield vehicle velocity vergence vision system visual