Relighting for an arbitrary shape object under unknown illumination environment

Yohei Ogura; Hideo Saito

doi:10.1007/978-3-319-27863-6_40

Relighting for an arbitrary shape object under unknown illumination environment

Yohei Ogura, Hideo Saito

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	433-442
Number of pages	10
Volume	9475
ISBN (Print)	9783319278629
DOIs	https://doi.org/10.1007/978-3-319-27863-6_40
Publication status	Published - 2015
Event	11th International Symposium on Advances in Visual Computing , ISVC 2015 - Las Vegas, United States Duration: 2015 Dec 14 → 2015 Dec 16

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9475
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	11th International Symposium on Advances in Visual Computing , ISVC 2015
Country	United States
City	Las Vegas
Period	15/12/14 → 15/12/16

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-319-27863-6_40

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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

Relighting for an arbitrary shape object under unknown illumination environment. / Ogura, Yohei; Saito, Hideo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9475 Springer Verlag, 2015. p. 433-442 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9475).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9475, Springer Verlag, pp. 433-442, 11th International Symposium on Advances in Visual Computing , ISVC 2015, Las Vegas, United States, 15/12/14. https://doi.org/10.1007/978-3-319-27863-6_40

Ogura Y, Saito H. 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. Springer Verlag. 2015. p. 433-442. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-27863-6_40

Ogura, Yohei ; Saito, Hideo. / Relighting for an arbitrary shape object under unknown illumination environment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9475 Springer Verlag, 2015. pp. 433-442 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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