Stereo matching under complex circumstances, such as low-textured areas and high dynamic range (HDR) scenes, is an ill-posed problem. In this paper, we introduce a stereo matching approach for real-world HDR scenes which is backward compatible to conventional stereo matchers. For this purpose, (1) we compare and evaluate the tone-mapped disparity maps to find the most suitable tone-mapping approach for the stereo matching purpose. Thereof, (2) we introduce a combining graph-cut based framework for effectively fusing the tone-mapped disparity maps obtained from different tone-mapped input image pairs. And finally, (3) we generate reference ground truth disparity maps for our evaluation using the original HDR images and a customized stereo matching method for HDR inputs. Our experiments show that, combining the most effective features of tone-mapped disparity maps, an improved version of the disparity is achieved. Not only our results reduce the low dynamic range (LDR), conventional disparity errors by the factor of 3, but also outperform the other well-known tone-mapped disparities by providing the closest results to the original HDR disparity maps.
en
dc.language
English
-
dc.language.iso
en
-
dc.publisher
Springer
-
dc.relation.ispartof
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Tone mapping
en
dc.subject
Stereo matching
en
dc.subject
Disparity map
en
dc.subject
Low dynamic range
en
dc.subject
High dynamic range
en
dc.subject
Markov random field
en
dc.subject
Graph cut
en
dc.title
Backward compatible HDR stereo matching: a hybrid tone-mapping-based framework
en
dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.rights.holder
2015 Akhavan and Kaufmann
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dc.type.category
Original Research Article
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.version
vor
-
dcterms.isPartOf.title
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
-
tuw.publication.orgunit
E193 - Institut für Softwaretechnik und Interaktive Systeme
-
tuw.publisher.doi
10.1186/s13640-015-0092-3
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dc.identifier.eissn
1687-5281
-
dc.identifier.libraryid
AC11360015
-
dc.identifier.urn
urn:nbn:at:at-ubtuw:3-1489
-
tuw.author.orcid
0000-0002-0322-9869
-
dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
wb.sci
true
-
item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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item.languageiso639-1
en
-
item.openaccessfulltext
Open Access
-
item.openairetype
research article
-
item.grantfulltext
open
-
crisitem.author.dept
TU Wien
-
crisitem.author.dept
E193-03 - Forschungsbereich Virtual and Augmented Reality
-
crisitem.author.orcid
0000-0002-0322-9869
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology