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Depth Pixel Clustering for Consistency Testing of Multiview Depth
KTH, School of Electrical Engineering (EES), Sound and Image Processing (Closed 130101). KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (Sound and Image Processing Lab)
KTH, School of Electrical Engineering (EES), Sound and Image Processing (Closed 130101). KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (Sound and Image Processing Lab)ORCID iD: 0000-0002-7807-5681
2012 (English)In: European Signal Processing Conference, 2012, p. 1119-1123Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a clustering algorithm of depth pixels for consistency testing of multiview depth imagery. The testing addresses the inconsistencies among estimated depth maps of real world scenes by validating depth pixel connection evidence based on a hard connection threshold. With the proposed algorithm, we test the consistency among depth values generated from multiple depth observations using cluster adaptive connection thresholds. The connection threshold is based on statistical properties of depth pixels in a cluster or sub-cluster. This approach can improve the depth information of real world scenes at a given viewpoint. This allows us to enhance the quality of synthesized virtual views when compared to depth maps obtained by using fixed thresholding. Depth-image-based virtual view synthesis is widely used for upcoming multimedia services like three-dimensional television and free-viewpoint television.

Place, publisher, year, edition, pages
2012. p. 1119-1123
Series
European Signal Proceedings Conference, ISSN 2076-1465
Keyword [en]
Depth map enhancement, depth pixel clustering, hypothesis testing, inter-view connection information
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-102590ISI: 000310623800225Scopus ID: 2-s2.0-84869744686ISBN: 978-146731068-0 (print)OAI: oai:DiVA.org:kth-102590DiVA, id: diva2:555533
Conference
20th European Signal Processing Conference, EUSIPCO 2012; Bucharest; Romania; 27 August 2012 through 31 August 2012
Funder
ICT - The Next Generation
Note

QC 20150708

Available from: 2012-09-20 Created: 2012-09-20 Last updated: 2015-07-08Bibliographically approved

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Scopushttp://www.eurasip.org/Proceedings/Eusipco/Eusipco2012/Conference/papers/1569576181.pdf

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Flierl, Markus

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  • apa
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Output format
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