Interreflection removal using fluorescence

Ying Fu, Antony Lam, Yasuyuki Matsushita, Imari Sato, Yoichi Sato

Research output: Contribution to journalConference articlepeer-review

14 Citations (Scopus)

Abstract

Interreflections exhibit a number of challenges for existing shape-from-intensity methods that only assume a direct lighting model. Removing the interreflections from scene observations is of broad interest since it enhances the accuracy of those methods. In this paper, we propose a method for removing interreflections from a single image using fluorescence. From a bispectral observation of reflective and fluorescent components recorded in distinct color channels, our method separates direct lighting from interreflections. Experimental results demonstrate the effectiveness of the proposed method on complex and dynamic scenes. In addition, we show how our method improves an existing photometric stereo method in shape recovery.

Original languageEnglish
Pages (from-to)203-217
Number of pages15
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8693 LNCS
Issue numberPART 5
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event13th European Conference on Computer Vision, ECCV 2014 - Zurich, Switzerland
Duration: 6 Sept 201412 Sept 2014

Keywords

  • Fluorescence
  • and interreflection removal
  • bispectral interreflection model
  • bispectral model

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