<div class="csl-bib-body">
<div class="csl-entry">Hosni, A. (2013). <i>Novel methods for discontinuity preserving support aggregation in local stereo matching</i> [Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/159696</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/159696
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dc.description.abstract
In this thesis we focus on local stereo matching methods, which rely on finding corresponding image pixels between the left and right image of a stereo pair by calculating aggregated color dissimilarities of pixels within suitable image patches. We propose novel adaptive support weight aggregation techniques that advance the state-of-the-art in local stereo matching in terms of both reconstruction quality and computational speed. (i) We propose an improved method for computing the adaptive support weights by imposing an additional connectivity constraint that relies on a geodesic distance transform. (ii) In order to overcome the problem of the large processing time, we present an algorithm for considerably speeding up computation times of the cost aggregation step of the adaptive support weight techniques. (iii) From the cost filtering/smoothing point of view, we introduce a stereo matching algorithm which uses the fast guided image filtering strategy for edge-preserving cost aggregation. (iv) We also propose an efficient algorithm for computing temporally consistent depth maps from video sequences. (v) To help researchers/developers selecting among different weight computation techniques, we conduct an extensive experimental evaluation of a variety of support weight computation methods suggested in the literature or proposed by ourselves. This evaluation examines the accuracy of the retrieved depth maps and the computational efficiency of a corresponding GPU-based implementation. (vi) Finally, we demonstrate that our proposed stereo algorithms that rely on cost filtering can be extended successfully to the closely related optical flow (motion) problem.
en
dc.language
English
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dc.language.iso
en
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dc.subject
Stereo Vision
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dc.subject
Local Stereo Matching
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dc.subject
Adaptive Support Weights
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dc.subject
Disparity Map
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dc.title
Novel methods for discontinuity preserving support aggregation in local stereo matching
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dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.contributor.affiliation
TU Wien, Österreich
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tuw.thesisinformation
Technische Universität Wien
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dc.contributor.assistant
Scharstein, Daniel
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dc.contributor.assistant
Uhl, Andreas
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tuw.publication.orgunit
E188 - Institut für Softwaretechnik und Interaktive Systeme
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dc.type.qualificationlevel
Doctoral
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dc.identifier.libraryid
AC10775147
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dc.description.numberOfPages
144
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dc.thesistype
Dissertation
de
dc.thesistype
Dissertation
en
tuw.advisor.staffStatus
staff
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tuw.assistant.staffStatus
staff
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tuw.advisor.orcid
0000-0002-9476-0865
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.cerifentitytype
Publications
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item.cerifentitytype
Publications
-
item.fulltext
no Fulltext
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item.openairetype
Thesis
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item.openairetype
Hochschulschrift
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item.grantfulltext
none
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item.languageiso639-1
en
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crisitem.author.dept
E188 - Institut für Softwaretechnik und Interaktive Systeme