A Discontinuity Detector Based on the Pervasive Noise in Surface Property Data

Jr., Edward B. Gamble

doi:10.1109/CVPR.1991.139816

A Discontinuity Detector Based on the Pervasive Noise in Surface Property Data

Edward B. Gamble Jr.

CVPR 1991 pp. 757-758

doi:10.1109/CVPR.1991.139816 /cvpr/1991/jr1991cvpr-discontinuity/

Abstract

A discontinuity detector based on the pervasive noise process near object boundaries produced by certain early vision algorithms is described. Contrary to the assumptions embodied in most discontinuity detectors, the noise in surface property data, such as stereo disparity, is not spatially white, Gaussian noise. This noise is briefly illustrated. To facilitate discontinuity detection, the locations of intensity edges are used as prior estimates to the true discontinuity locations. The discontinuity detector is formulated as a Markov random field; although variations of the approach described should be amenable to hardware implementation.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

CVPR Semantic Scholar

Cite

Text

Jr.. "A Discontinuity Detector Based on the Pervasive Noise in Surface Property Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139816

Markdown

[Jr.. "A Discontinuity Detector Based on the Pervasive Noise in Surface Property Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/jr1991cvpr-discontinuity/) doi:10.1109/CVPR.1991.139816

BibTeX

@inproceedings{jr1991cvpr-discontinuity,
  title     = {{A Discontinuity Detector Based on the Pervasive Noise in Surface Property Data}},
  author    = {Jr., Edward B. Gamble},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {757-758},
  doi       = {10.1109/CVPR.1991.139816},
  url       = {https://mlanthology.org/cvpr/1991/jr1991cvpr-discontinuity/}
}