ML Anthology

Real Time Vergence Control

Thomas J. Olson, Richard D. Potter
CVPR 1989 pp. 404-409
doi:10.1109/CVPR.1989.37878 /cvpr/1989/olson1989cvpr-real/

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Olson and Potter. "Real Time Vergence Control." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989. doi:10.1109/CVPR.1989.37878

Markdown

[Olson and Potter. "Real Time Vergence Control." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989.](https://mlanthology.org/cvpr/1989/olson1989cvpr-real/) doi:10.1109/CVPR.1989.37878

BibTeX

@inproceedings{olson1989cvpr-real,
  title     = {{Real Time Vergence Control}},
  author    = {Olson, Thomas J. and Potter, Richard D.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1989},
  pages     = {404-409},
  doi       = {10.1109/CVPR.1989.37878},
  url       = {https://mlanthology.org/cvpr/1989/olson1989cvpr-real/}
}