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Space-Time Hierarchical Radiosity with Clustering and Higher-Order Wavelets

Cyrille Damez 1, 2 Nicolas Holzschuch 1, * François X. Sillion 1 
* Corresponding author
1 ARTIS - Acquisition, representation and transformations for image synthesis
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : We address in this paper the issue of computing diffuse global illumination solutions for animation sequences. The principal difficulties lie in the computational complexity of global illumination, emphasized by the movement of objects and the large number of frames to compute, as well as the potential for creating temporal discontinuities in the illumination, a particularly noticeable artifact. We demonstrate how space-time hierarchical radiosity, i.e. the application to the time dimension of a hierarchical decomposition algorithm, can be effectively used to obtain smooth animations: first by proposing the integration of spatial clustering in a space-time hierarchy; second, by using a higher-order wavelet basis adapted for the temporal dimension. The resulting algorithm is capable of creating time-dependent radiosity solutions efficiently.
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Cyrille Damez, Nicolas Holzschuch, François X. Sillion. Space-Time Hierarchical Radiosity with Clustering and Higher-Order Wavelets. Computer Graphics Forum, 2004, 23 (2), pp.129 - 141. ⟨10.1111/j.1467-8659.2004.00747.x⟩. ⟨inria-00379367⟩



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