Multiple Light Sources and Reflectance Property Estimation Based on a Mixture of Spherical Distributions

Authors:
Kenji Hara;Ko Nishino;Katsushi Ikeuchi
Affiliations:
Kyushu University;Drexel University;University of Tokyo
Venue:
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Year:
2005

Citing 0
Cited 5

Frequency domain normal map filtering

ACM SIGGRAPH 2007 papers
Difference sphere: An approach to near light source estimation

Computer Vision and Image Understanding
Face relighting under arbitrary unknown illumination conditions based on estimated light source direction

VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Wavelet-Texture Method: Appearance Compression by Polarization, Parametric Reflection Model, and Daubechies Wavelet

International Journal of Computer Vision
LEAN mapping

Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a new method for simultaneously estimating the illumination of the scene and the reflectanceproperty 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.