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SIFT-BASED IMPROVEMENT OF DEPTH IMAGERY
KTH, School of Electrical Engineering (EES), Sound and Image Processing (Closed 130101).
KTH, School of Electrical Engineering (EES), Sound and Image Processing (Closed 130101).ORCID iD: 0000-0002-7807-5681
2011 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Depth Image Based Rendering (DIBR) is a widely used technique to enable free viewpoint television. It utilizes one or more reference texture images and their associated depth images to synthesize virtual camera views. The depth image plays a crucial role for DIBR. However, most of the conventional depth image estimation approaches determine the depth information from a limited set of nearby reference images. This leads to inconsistencies among multiple reference depth images, thus resulting in poor rendering quality. In this paper, we propose an approach that uses the Scale Invariant Feature Transform (SIFT) to improve depth images at virtual viewpoints. We extract SIFT features in left and right reference images, and use feature correspondences to improve the consistency between reference depth images. By doing so, the quality of rendered virtual views can be enhanced.

Place, publisher, year, edition, pages
IEEE , 2011.
Series
IEEE International Conference on Multimedia and Expo, ISSN 1945-7871
Keyword [en]
Free viewpoint television, DIBR, SIFT, depth consistency
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-53423DOI: 10.1109/ICME.2011.6011849ISI: 000297172100018Scopus ID: 2-s2.0-80155158964ISBN: 978-1-61284-349-0 (print)OAI: oai:DiVA.org:kth-53423DiVA: diva2:470034
Conference
IEEE International Conference on Multimedia and Expo
Note

QC 20111228

Available from: 2011-12-28 Created: 2011-12-28 Last updated: 2016-04-27Bibliographically approved

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Flierl, Markus

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Citation style
  • apa
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
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  • asciidoc
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