A novel depth recovery approach from multi-view stereo based focusing

Zhaolin Xiao, Heng Yang, Qing Wang, Guoqing Zhou

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

1 Scopus citations

Abstract

In this paper, we propose a novel depth recovery method from multi-view stereo based focusing. Inspired by the 4D light field theory, we discover the relationship between classical multi-view stereo (MVS) and depth from focus (DFF) methods and concern about different frequency distribution in 2D light field space. Then we propose a way to separate the depth recovery into two steps. At the first stage, we choose some depth candidates using existing multi-view stereo method. At the second phase, the depth from focusing algorithm is employed to determine the final depth. As well known, multi-view stereo and depth from focus need different kinds of input images, which can not be acquired at the same time by using traditional imaging system. We have addressed this issue by using a camera array system and synthetic aperture photography. Both multi-view images and distinct defocus blur images can be captured at the same time. Experimental results have shown that our proposed method can take advantages of MVS and DFF and the recovered depth is better than traditional methods.

Original languageEnglish
Title of host publicationProceedings - 2013 International Conference on Virtual Reality and Visualization, ICVRV 2013
PublisherIEEE Computer Society
Pages169-176
Number of pages8
ISBN (Print)9780769551500
DOIs
StatePublished - 2013
Event2013 International Conference on Virtual Reality and Visualization, ICVRV 2013 - Xi'an, Shaanxi, China
Duration: 14 Sep 201315 Sep 2013

Publication series

NameProceedings - 2013 International Conference on Virtual Reality and Visualization, ICVRV 2013

Conference

Conference2013 International Conference on Virtual Reality and Visualization, ICVRV 2013
Country/TerritoryChina
CityXi'an, Shaanxi
Period14/09/1315/09/13

Keywords

  • Camera array
  • Computational photography
  • Depth from focus
  • Depth recovery
  • Multi-view stereo

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