Separation of reflection and transparency using epipolar plane image analysis

Thanda Oo, Hiroshi Kawasaki, Yutaka Ohsawa, Katsushi Ikeuchi

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

1 Citation (Scopus)

Abstract

The effect of reflection and transparency is superimposed in many real world scenes, which is caused by glass-like shiny and transparent materials. The presence of such incidental effect in a captured image has made it difficult to apply computer vision algorithms and has lead to erroneous results. Moreover, it disturbs the texture acquisition of the real-world scene. This paper presents an optimal method for the separation of reflection and transparency components. The method is based on the Epipolar Plane Image (EPI) analysis. The method is not like the ordinary edge-based EPI analysis, but instead it is an edge and color-based EPI analysis. To demonstrate the effectiveness of our method, we present the results of experiments using synthesized and real images which include indoor and outdoor scenes, from which we successfully extracted the reflection and transparency components from the input image sequences. ...

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings
Pages908-917
Number of pages10
DOIs
Publication statusPublished - 2006
Event7th Asian Conference on Computer Vision, ACCV 2006 - Hyderabad, India
Duration: Jan 13 2006Jan 16 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3851 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th Asian Conference on Computer Vision, ACCV 2006
CountryIndia
CityHyderabad
Period1/13/061/16/06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Separation of reflection and transparency using epipolar plane image analysis'. Together they form a unique fingerprint.

  • Cite this

    Oo, T., Kawasaki, H., Ohsawa, Y., & Ikeuchi, K. (2006). Separation of reflection and transparency using epipolar plane image analysis. In Computer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings (pp. 908-917). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3851 LNCS). https://doi.org/10.1007/11612032_91