Intelligent Robots and Computer Vision, Volume 13; Volume 2354SPIE--the International Society for Optical Engineering, 1994 - Artificial intelligence |
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Page 2354-162
... resolution required by a particular application . The greater the distance , the greater the field of view The smaller the distance , the greater the spatial resolution . The greater the angle , the greater the spatial resolution . The ...
... resolution required by a particular application . The greater the distance , the greater the field of view The smaller the distance , the greater the spatial resolution . The greater the angle , the greater the spatial resolution . The ...
Page 2354-417
... resolution processing is completed , both the medium resolution information from the specified region are projected down to the fine resolution level . At the fine resolution level , the cue processes are effected similarly as at the ...
... resolution processing is completed , both the medium resolution information from the specified region are projected down to the fine resolution level . At the fine resolution level , the cue processes are effected similarly as at the ...
Page 2354-418
... resolution level . The disparity map for each experiment shows the region of interest at fine resolution while the remaining regions are of coarse resolution ( figure 13 ) . Straight black bands ( in figure 13 ( b ) ) define the region ...
... resolution level . The disparity map for each experiment shows the region of interest at fine resolution while the remaining regions are of coarse resolution ( figure 13 ) . Straight black bands ( in figure 13 ( b ) ) define the region ...
Contents
Time to contact from active tracking of motion boundaries 235405 | 2354-5 |
Threedimensional reconstruction based on a foveal sensing technique 235453 | 2354-53 |
Steering a mobile robot in real time 235409 | 2354-57 |
Copyright | |
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Common terms and phrases
active vision affine transformation algorithm angle applications approach automation axis calibration component Computer Vision constraint contour corresponding curve defined depth map determined dimensional direction disparity displacement error distance edge detection end-effector environment equation estimation extracted feature points filter fixation point frame geometric horizontal Hough Transform IEEE image plane image processing image sequence implementation inspection intersection Kalman filter laboratory landmarks laser linear machine vision matching matrix measurement method mobile robot module motion noise object observer obtained optical flow orientation output paper parameters Pattern performance pixels position probability density function problem Proc projection quantization error range camera reconstruction reference region resolution robust rotation sample scene sensor servo shape shown in Figure shows space spatial SPIE Vol stereo stereo vision strategy surface target technique texture tracking transformation translation triangle variance vector vergence vertical vision system visual