TY - GEN
T1 - Relighting for an arbitrary shape object under unknown illumination environment
AU - Ogura, Yohei
AU - Saito, Hideo
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
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
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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
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 433
EP - 442
BT - Advances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings
A2 - Parvin, Bahram
A2 - Koracin, Darko
A2 - Feris, Rogerio
A2 - Weber, Gunther
A2 - Pavlidis, Ioannis
A2 - McGraw, Tim
A2 - Kopper, Regis
A2 - Ye, Zhao
A2 - Ragan, Eric
A2 - Bebis, George
A2 - Elendt, Mark
A2 - Boyle, Richard
PB - Springer Verlag
T2 - 11th International Symposium on Advances in Visual Computing , ISVC 2015
Y2 - 14 December 2015 through 16 December 2015
ER -