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
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