High-Resolution Stereo Matching based on Sampled Photoconsistency Computation (bibtex)

by LeGendre, Chloe, Batsos, Konstantinos and Mordohai, Philippos

Abstract:

We propose an approach to binocular stereo that avoids exhaustive photoconsistency computations at every pixel, since they are redundant and computationally expensive, especially for high resolution images.

Reference:

High-Resolution Stereo Matching based on Sampled Photoconsistency Computation (LeGendre, Chloe, Batsos, Konstantinos and Mordohai, Philippos), In British Machine Vision Conference, 2017.

Bibtex Entry:

@inproceedings{legendre2017high,
	title = {High-Resolution Stereo Matching based on Sampled Photoconsistency Computation},
	author = {LeGendre, Chloe and Batsos, Konstantinos and Mordohai, Philippos},
	booktitle = {British Machine Vision Conference},
	year = {2017},
	abstract = {We propose an approach to binocular stereo that avoids exhaustive photoconsistency computations at every pixel, since they are redundant and computationally expensive, especially for high resolution images.}
  
}