BARIL, Jerome; BOUBEKEUR, Tamy; GIOIA, Patrick; SCHLICK, Christophe

doi:10.1145/1401032.1401072

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BARIL, Jerome
Visualization and manipulation of complex data on wireless mobile devices [IPARLA ]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

BOUBEKEUR, Tamy
Technical University of Berlin / Technische Universität Berlin [TUB]

GIOIA, Patrick
Orange Labs R&D [Rennes]

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Communication dans un congrès

Ce document a été publié dans

ACM Siggraph 2008 - Talk Program, 2008-08, Los Angeles. 2008

Résumé en anglais

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.< Réduire

Mots clés en anglais

Bidrectional Texture Functions

Polynomial Approximation

GPU

Wavelets

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Polynomial Wavelet Trees for Bidirectional Texture Functions

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