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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

Stereo Correspondence Evaluation Methods: A Systematic Review

verfasst von : Camilo Vargas, Ivan Cabezas, John W. Branch

Erschienen in: Advances in Visual Computing

Verlag: Springer International Publishing

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Abstract

The stereo correspondence problem has received significant attention in literature during approximately three decades. During that period of time, the development on stereo matching algorithms has been quite considerable. In contrast, the proposals on evaluation methods for stereo matching algorithms are not so many. This is not trivial issue, since an objective assessment of algorithms is required not only to measure improvements on the area, but also to properly identify where the gaps really are, and consequently, guiding the research. In this paper, a systematic review on evaluation methods for stereo matching algorithms is presented. The contributions are not only on the found results, but also on how it is explained and presented: aiming to be useful for the researching community on visual computing, in which such systematic review process is not yet broadly adopted.

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Vorheriges Kapitel Real–Time 3-D Surface Reconstruction from Multiple Cameras
Nächstes Kapitel Guided High-Quality Rendering
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Metadaten
Titel
Stereo Correspondence Evaluation Methods: A Systematic Review
verfasst von
Camilo Vargas
Ivan Cabezas
John W. Branch
Copyright-Jahr
2015
Buch
Advances in Visual Computing

Print ISBN: 978-3-319-27862-9

Electronic ISBN: 978-3-319-27863-6

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-27863-6_10

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