Depth Pixel Clustering for Consistency Testing of Multiview Depth
2012 (English)In: European Signal Processing Conference, 2012, 1119-1123 p.Conference paper (Refereed)
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. 1119-1123 p.
, European Signal Proceedings Conference, ISSN 2076-1465
Depth map enhancement, depth pixel clustering, hypothesis testing, inter-view connection information
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-102590ISI: 000310623800225ScopusID: 2-s2.0-84869744686ISBN: 978-146731068-0OAI: oai:DiVA.org:kth-102590DiVA: diva2:555533
20th European Signal Processing Conference, EUSIPCO 2012; Bucharest; Romania; 27 August 2012 through 31 August 2012
FunderICT - The Next Generation
QC 201507082012-09-202012-09-202015-07-08Bibliographically approved