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Shearlet-Based Light Field Reconstruction of Scenes with Non-Lambertian Properties

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

Details

Original languageEnglish
Title of host publication2019 8th European Workshop on Visual Information Processing (EUVIP)
PublisherIEEE
Pages140-145
Number of pages6
ISBN (Electronic)978-1-7281-4496-2
ISBN (Print)978-1-7281-4497-9
DOIs
Publication statusPublished - Oct 2019
Publication typeA4 Article in a conference publication
EventEuropean Workshop on Visual Information Processing -
Duration: 1 Jan 1900 → …

Publication series

NameEuropean Workshop on Visual Information Processing
ISSN (Print)2164-974X
ISSN (Electronic)2471-8963

Conference

ConferenceEuropean Workshop on Visual Information Processing
Period1/01/00 → …

Abstract

Light fields representing Lambertian scenes are characterized by specific epipolar plane images, which support in Fourier domain is limited by the minimum and maximum scene depth. This feature of the light field has been taken into account when designing the shearlet-based light field reconstruction algorithm. However, this feature does not hold for the case of non-Lambertian scenes. Therefore, the original algorithm performs sub-optimally for such scenes. In this work, we extend the shearlet based reconstruction algorithm to enable light fields reconstruction for scenes composed of surfaces with non-Lambertian properties. Instead of assuming Lambertianity and the corresponding Fourier-domain support, we estimate the real Fourier-domain support of the given light field of a non-Lambertian scene. Based on the estimated support, we adapt the Shearlet frame to properly span that support. The results demonstrate that the new method yields a faithful reconstruction of densely sampled light fields of non-Lambertian scenes from a small number of captured views.

Keywords

  • light field, view-reconstruction, optical flow, non-Lambertian surface, shearlet transform

Publication forum classification

Field of science, Statistics Finland