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Depth from defocus using geometric optics regularization

  • School of Computer Science and Technology, Harbin Institute of Technology
  • Northeast Agricultural University

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

Abstract

This paper formulates the problem of recovering depth information of the scene from two defocused images as the minimization of the information divergence between the two measured defocused images based on geometric optics regularization. This geometric optics regularization term is attained according to different relative position of image plane and image focus. The experimental results show that the quality of the estimated depth is significantly better than that obtained without the geometric optics regularization.

Original languageEnglish
Title of host publicationAdvances in Applied Science, Engineering and Technology
Pages511-514
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 International Conference on Applied Science, Engineering and Technology, ICASET 2013 - Qingdao, China
Duration: 19 May 201321 May 2013

Publication series

NameAdvanced Materials Research
Volume709
ISSN (Print)1022-6680

Conference

Conference2013 International Conference on Applied Science, Engineering and Technology, ICASET 2013
Country/TerritoryChina
CityQingdao
Period19/05/1321/05/13

Keywords

  • Depth from defocus
  • Geometric optics regularization
  • Information divergence

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