OASIcs.VLUDS.2010.20.pdf
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Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm
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Volume:
Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop) (VLUDS 2010)
Series: Open Access Series in Informatics (OASIcs) - License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
- Publication Date: 2011-04-13
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Klaus Denker and Georg Umlauf. Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 20-26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
https://doi.org/10.4230/OASIcs.VLUDS.2010.20
Abstract
Stereo matching algorithms and multi camera reconstruction algorithms are usually compared using benchmarks. These benchmarks compare the quality of the resulting depth map or reconstructed surface mesh. We describe the differences between several known stereo and multi-view stereo benchmarks and their various datasets. Also the modifications that are necessary to use our own GPU based multi camera stereo matching algorithm with the data from these benchmarks are discussed.
Subject Classification
Keywords
- Stereo matching
- Multi camera
- GPU
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