Université Sciences et Technologies - Bordeaux 1, Inria Bordeaux - Sud-Ouest, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : Polynomial Wavelet Tree is a new tool for accurate and efficient compression of BTFs. The key idea is to separate directional and spatial variations by projecting the spatial BTF domain (i.e., the light-dependent textures) onto a wavelet basis and to approximate these light-dependent wavelet coefficients with a polynomial function. Fitting wavelet coefficients instead of data themselves is a more efficient approximation compared to previous solutions since low frequency light transitions are smooth and higher frequency coefficients can be quantized with less importance. This wavelet projection and the light-dependent polynomial approximation is done for each view-point. Our solution is also designed for efficient high quality materials rendering on GPU.
https://hal.inria.fr/inria-00355359
Contributeur : Jérôme Baril
<>
Soumis le : jeudi 22 janvier 2009 - 15:58:47
Dernière modification le : jeudi 11 janvier 2018 - 06:22:12
Document(s) archivé(s) le : mardi 8 juin 2010 - 19:17:55
Jerome Baril, Tamy Boubekeur, Patrick Gioia, Christophe Schlick. Polynomial Wavelet Trees for Bidirectional Texture Functions. ACM Siggraph 2008 - Talk Program, Aug 2008, Los Angeles, United States. 2008, 〈10.1145/1401032.1401072〉. 〈inria-00355359〉
