A depth refinement algorithm for multi-view video synthesis

Hsin Chia Shih*, Hsu-Feng Hsiao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

With the recent progress of display, capture device, and coding technologies, multi-view video applications such as stereoscopic video, free viewpoint TV (FTV), and free viewpoint video (FVV) have been introduced to the world with growing interest. To achieve free navigation of such applications, depth information is required along with the video data. There have been many research activities in the area of depth estimation; however, it still poses us great challenge to estimate accurate depth map. In this paper, we propose a depth refinement algorithm for multi-view video synthesis. The proposed algorithm classifies the pixel-wise depth map into two categories, one is reliable and the other is unreliable, followed by the depth refinement algorithm for those pixels with unreliable depth values. Except for the depth refinement algorithm, we also propose a reliable weighted view interpolation algorithm. At last, the refined depth map is evaluated by the quality of the synthesized view.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
Pages742-745
Number of pages4
DOIs
StatePublished - 8 Nov 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: 14 Mar 201019 Mar 2010

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
CountryUnited States
CityDallas, TX
Period14/03/1019/03/10

Keywords

  • Depth estimation
  • FTV
  • Multi-view
  • View synthesis

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