Relighting for an arbitrary shape object under unknown illumination environment

Yohei Ogura, Hideo Saito

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

Abstract

Relighting techniques can achieve the photometric consistency in synthesizing a composite images. Relighting generally need the object’s shape and illumination environment. Recent research demonstrates possibilities of relighting for an unknown shape object or the relighting the object under unknown illumination environment. However, achieving both tasks are still challenging issue. In this paper, we propose a relighting method for an unknown shape object captured under unknown illumination environment by using an RGB-D camera. The relighted object can be rendered from pixel intensity, surface albedo and shape of the object and illumination environment. The pixel intensity and the shape of the object can simultaneously be obtained from an RGB-D camera. Then surface albedo and illumination environment are iteratively estimated from the pixel intensity and shape of the object.We demonstrate that our method can perform relighting for a dynamic shape object captured under unknown illumination using an RGB-D camera.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages433-442
Number of pages10
Volume9475
ISBN (Print)9783319278629
DOIs
Publication statusPublished - 2015
Event11th International Symposium on Advances in Visual Computing , ISVC 2015 - Las Vegas, United States
Duration: 2015 Dec 142015 Dec 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9475
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Symposium on Advances in Visual Computing , ISVC 2015
CountryUnited States
CityLas Vegas
Period15/12/1415/12/16

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Ogura, Y., & Saito, H. (2015). Relighting for an arbitrary shape object under unknown illumination environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9475, pp. 433-442). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9475). Springer Verlag. https://doi.org/10.1007/978-3-319-27863-6_40