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 | |
| 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 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
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
}
TY - GEN
T1 - Relighting for an arbitrary shape object under unknown illumination environment
AU - Ogura, Yohei
AU - Saito, Hideo
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84952802394&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84952802394&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-27863-6_40
DO - 10.1007/978-3-319-27863-6_40
M3 - Conference contribution
AN - SCOPUS:84952802394
SN - 9783319278629
VL - 9475
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 433
EP - 442
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
ER -