An efficient anti-occlusion depth estimation using generalized EPI representation in light field

Hao Zhu, Qing Wang

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

1 Scopus citations

Abstract

Light field cameras have been rapidly developed and are likely to appear in mobile devices in near future. It is essential to develop efficient and robust depth estimation algorithm for mobile applications. However, existing methods are either slow or lack of adaptability to occlusion such that they are not suitable to mobile computing platform. In this paper, we present the generalized EPI representation in light field and formulate it using two linear functions. By combining it with the light field occlusion theory, a highly efficient and anti-occlusion depth estimation algorithm is proposed. Our algorithm outperforms the previous local method, especially in occlusion areas. Experimental results on public light field datasets have demonstrated the effectiveness and efficiency of the proposed algorithm.

Original languageEnglish
Title of host publicationOptoelectronic Imaging and Multimedia Technology IV
EditorsQionghai Dai, Tsutomu Shimura
PublisherSPIE
ISBN (Electronic)9781510604599
DOIs
StatePublished - 2016
EventOptoelectronic Imaging and Multimedia Technology IV - Beijing, China
Duration: 12 Oct 201613 Oct 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10020
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptoelectronic Imaging and Multimedia Technology IV
Country/TerritoryChina
CityBeijing
Period12/10/1613/10/16

Keywords

  • Anti-Occlusion
  • Depth Estimation
  • Generalized EPI Representation
  • Light Field

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