DocumentCode :
2472316
Title :
Real time vergence control
Author :
Olson, Thomas J. ; Potter, Robert D.
Author_Institution :
Dept. of Comput. Sci., Rochester Univ., NY, USA
fYear :
1989
fDate :
4-8 Jun 1989
Firstpage :
404
Lastpage :
409
Abstract :
Binocular robots whose camera can be independently directed require some mechanism for aiming both cameras at the same world point. The authors describe a mechanism for verging the cameras of the Rochester Robot in real time. The mechanism consists of a discrete control loop driven by an algorithm that estimates a single disparity from the two cameras. Two algorithms for disparity estimation are presented. The first uses the cepstral-transform approach of Y. Yeshuran and E.L. Schwartz (1987), and it is argued that, in this application, the cepstrum is best understood as autocorrelation with an adaptive filter that acts to sharpen peaks in the autocorrelation image. It is also shown that qualitatively similar filters have similar effects, with the limiting case being equivalent to deconvolution. Efficient real-time implementations of the cepstral and deconvolution approaches are described
Keywords :
computer vision; computerised control; discrete systems; filtering and prediction theory; position control; robots; Rochester Robot; adaptive filter; autocorrelation; binocular robots; cepstral-transform; computer vision; computerised control; discrete control loop; disparity estimation; position control; real-time vergence control; Cameras; Cepstral analysis; Cepstrum; Charge coupled devices; Charge-coupled image sensors; Head; Machine vision; Real time systems; Robot vision systems; Robotic assembly;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
Conference_Location :
San Diego, CA
ISSN :
1063-6919
Print_ISBN :
0-8186-1952-x
Type :
conf
DOI :
10.1109/CVPR.1989.37878
Filename :
37878
Link To Document :
بازگشت