%0 Journal Article
%T Cosine Lobe Based Relighting from Gradient Illumination Photographs
%A Graham Fyffe
%A Paul Debevec
%J Journal of Virtual Reality and Broadcasting
%D 2012
%I University of Applied Sciences Dusseldorf
%X We present an image-based method for relighting a scene by analytically fitting cosine lobes to the reflectance function at each pixel, based on gradient illumination photographs. Realistic relighting results for many materials are obtained using a single per-pixel cosine lobe obtained from just two color photographs: one under uniform white illumination and the other under colored gradient illumination. For materials with wavelength-dependent scattering, a better fit can be obtained using independent cosine lobes for the red, green, and blue channels, obtained from three achromatic gradient illumination conditions instead of the colored gradient condition. We explore two cosine lobe reflectance functions, both of which allow an analytic fit to the gradient conditions. One is non-zero over half the sphere of lighting directions, which works well for diffuse and specular materials, but fails for materials with broader scattering such as fur. The other is non-zero everywhere, which works well for broadly scattering materials and still produces visually plausible results for diffuse and specular materials. We also perform an approximate diffuse/specular separation of the reflectance, and estimate scene geometry from the recovered photometric normals to produce hard shadows cast by the geometry, while still reconstructing the input photographs exactly.
%K Gradient Illumination
%K Lighting
%K Photographs
%K Relighting
%K Scene Geometry
%K Shadows
%U https://www.jvrb.org/past-issues/9.2012/3264