Plenoptic depth estimation from multiple aliased views

Tom E. Bishop, Paolo Favaro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Citations (Scopus)

Abstract

With a sampled light field acquired from a plenoptic camera, several low-resolution views of the scene are available from which to infer depth. Unlike traditional multiview stereo, these views may be highly aliased due to the sparse sampling lattice in space, which can lead to reconstruction errors. We first analyse the conditions under which aliasing is a problem, and discuss the trade-offs for different parameter choices in plenoptic cameras. We then propose a method to compensate for the aliasing, whilst fusing the information from the multiple views to correctly recover depth maps. We show results on synthetic and real data, demonstrating the effectiveness of our method. ©2009 IEEE.

Original languageEnglish
Title of host publication2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
Pages1622-1629
Number of pages8
DOIs
Publication statusPublished - 2009
Event2009 IEEE 12th International Conference on Computer Vision Workshops - Kyoto, Japan
Duration: 27 Sep 20094 Oct 2009

Conference

Conference2009 IEEE 12th International Conference on Computer Vision Workshops
Abbreviated titleICCV Workshops 2009
CountryJapan
CityKyoto
Period27/09/094/10/09

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