High-Resolution Stereo Matching based on Sampled Photoconsistency Computation (bibtex)
by Chloe LeGendre, Konstantinos Batsos, Philippos Mordohai
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 (Chloe LeGendre, Konstantinos Batsos, Philippos Mordohai), 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.}
  
}
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