Sciweavers

Share
SIGGRAPH
2003
ACM

TensorTextures

9 years 11 months ago
TensorTextures
This paper introduces a tensor framework for image-based rendering. In particular, we develop an algorithm called TensorTextures that learns a parsimonious model of the bidirectional texture function (BTF) from observational data. Given an ensemble of images of a textured surface, our nonlinear, generative model explicitly represents the multifactor interaction implicit in the detailed appearance of the surface under varying photometric angles, including local (per-texel) reflectance, complex mesostructural self-occlusion, interreflection and self-shadowing, and other BTF-relevant phenomena. Mathematically, TensorTextures is based on multilinear algebra, the algebra of higher-order tensors, hence its name. It is computed through a decomposition known as the N-mode SVD, an extension to tensors of the conventional matrix singular value decomposition (SVD). We demonstrate the application of TensorTextures to the image-based rendering of natural and synthetic textured surfaces under con...
M. Alex O. Vasilescu, Demetri Terzopoulos
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where SIGGRAPH
Authors M. Alex O. Vasilescu, Demetri Terzopoulos
Comments (0)
books