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Multiscale framework for adaptive and robust enhancement of depth in multi-view imagery
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.ORCID iD: 0000-0002-7807-5681
2012 (English)In: Image Processing (ICIP), 2012 19th IEEE International Conference on, IEEE , 2012, 13-16 p.Conference paper, Published paper (Refereed)
Abstract [en]

Depth Image Based Rendering (DIBR) is a standard technique in free viewpoint television for rendering virtual camera views. For synthesis it utilizes one or several reference texture images and associated depth images, which contain information about the 3D structure of the scene. Many popular depth estimation methods infer the depth information by considering texture images in pairs. This often leads to severe inconsistencies among multiple reference depth images, resulting in poor rendering quality. We propose a method which takes as input a set of depth images and returns an enhanced depth map to be used for rendering at the virtual viewpoint. Our framework is data-driven and based on a simple geometric multiscale model of the underlying depth. Inconsistencies and errors in the inputted depth images are handled locally using tools from the field of robust statistics. Numerical comparison shows the method outperform standard MPEG DIBR software.

Place, publisher, year, edition, pages
IEEE , 2012. 13-16 p.
Series
International Conference on Image Processing. Proceedings, ISSN 1522-4880
Keyword [en]
Adaptive Estimation, Depth Consistency, DIBR, Free Viewpoint Television, Multiscale Modelling
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-105532DOI: 10.1109/ICIP.2012.6466783ISI: 000319334900004Scopus ID: 2-s2.0-84875843328ISBN: 978-146732533-2 (print)OAI: oai:DiVA.org:kth-105532DiVA: diva2:571379
Conference
2012 19th IEEE International Conference on Image Processing, ICIP 2012; Lake Buena Vista, FL; 30 September 2012 through 3 October 2012
Funder
ICT - The Next Generation
Note

QC 20130327

Available from: 2012-11-22 Created: 2012-11-22 Last updated: 2013-08-22Bibliographically approved

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Flierl, Markus

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf