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Eurographics Symposium on Rendering (2006), pp. 110 Tomas Akenine-Mller and Wolfgang Heidrich (Editors)
 

Summary: Eurographics Symposium on Rendering (2006), pp. 1­10
Tomas Akenine-Möller and Wolfgang Heidrich (Editors)
Sparse Lumigraph Relighting by Illumination and
Reflectance Estimation from Multi-View Images
Abstract
We present a novel relighting approach that does not assume that illumination is known or controllable. Instead,
we estimate the illumination and texture from given multi-view images captured under a single illumination set-
ting, given object shape. We rely on viewpoint-dependence of surface reflectance to resolve the usual texture-
illumination ambiguity. The task of obtaining illumination and texture models is formulated as the decomposition
of the observed surface radiance tensor into the product of a light transport tensor, and illumination and texture
matrices. We estimate both illumination and texture at the same time by solving a system of bilinear equations. To
reduce estimation error due to imperfect input surface geometry, we also perform a multi-scale discrete search on
the specular surface normal. Our results on synthetic and real data indicate that we can estimate both illumination
and the diffuse as well as specular components of the surface texture map (up to a global scaling ambiguity). Our
approach allows more flexibility in rendering novel images, such as view changing, and light and texture editing.
1. Introduction
The images of a scene under varying illuminations and from
different viewpoints are highly interrelated, which makes it
possible to predict the object's appearance from new view-
points or under different illuminations. To achieve this, im-

  

Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign

 

Collections: Computer Technologies and Information Sciences; Engineering