TY - GEN
T1 - Multiple light sources and reflectance property estimation based on a mixture of spherical distributions
AU - Kenji, Hara
AU - Nishino, Ko
AU - Ikeuchi, Katsushi
PY - 2005/12/1
Y1 - 2005/12/1
N2 - In this paper, we propose a new method for simultaneously estimating the illumination of the scene and the reflectance property of the object from a single image. We assume that the illumination consists of multiple point sources and the shape of the object is known. Unlike previous methods, we will recover not only the direction and intensity of the light sources, but also the number of light sources and the specular reflection parameter of the object. First, we represent the illumination on the surface of a unit sphere as a finite mixture of von Mises-Fisher distributions by deriving a spherical specular reflection model. Next, we estimate this mixture and the number of distributions. Finally, using this result as initial estimates, we refine the estimates using the original specular reflection model. We can use the results to render the object under novel lighting conditions.
AB - In this paper, we propose a new method for simultaneously estimating the illumination of the scene and the reflectance property of the object from a single image. We assume that the illumination consists of multiple point sources and the shape of the object is known. Unlike previous methods, we will recover not only the direction and intensity of the light sources, but also the number of light sources and the specular reflection parameter of the object. First, we represent the illumination on the surface of a unit sphere as a finite mixture of von Mises-Fisher distributions by deriving a spherical specular reflection model. Next, we estimate this mixture and the number of distributions. Finally, using this result as initial estimates, we refine the estimates using the original specular reflection model. We can use the results to render the object under novel lighting conditions.
UR - http://www.scopus.com/inward/record.url?scp=33745911153&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745911153&partnerID=8YFLogxK
U2 - 10.1109/ICCV.2005.162
DO - 10.1109/ICCV.2005.162
M3 - Conference contribution
AN - SCOPUS:33745911153
SN - 076952334X
SN - 9780769523347
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 1627
EP - 1634
BT - Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
T2 - Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005
Y2 - 17 October 2005 through 20 October 2005
ER -