Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/192282
Title: Interactive VPL-based global illumination on the GPU using fuzzy clustering
Author: Colom, Arnau
Rodrigues Sepúlveda Marques, Ricardo Jorge
Santos, Luís Paulo
Keywords: Infografia
Algorismes computacionals
Computer graphics
Computer algorithms
Issue Date: Nov-2022
Publisher: Elsevier
Abstract: Physically-based synthesis of high quality imagery, including global illumination light transport phenomena, results in a significant workload, which makes interactive rendering a very challenging task. We propose a VPL-based ray tracing approach that runs entirely in the GPU and achieves interactive frame rates while handling global illumination light transport phenomena. This approach is based on clustering both shading points and VPLs and computing visibility only among clusters' representatives. A new massively parallel K-means clustering algorithm, enables efficient execution in the GPU. Rendering artifacts, that could result from the piecewise constant approximation of the VPLs/shading points visibility function introduced by the clustering, are smoothed away by resorting to an innovative approach based on fuzzy clustering and weighted interpolation of the visibility function. The effectiveness of the proposed approach is experimentally verified for a collection of scenes, with frame rates larger than 3 fps and up to 25 fps being demonstrated.
Note: Reproducció del document publicat a: https://doi.org/10.1016/j.cag.2022.09.008
It is part of: Computers & Graphics, 2022, vol. 108, p. 74-85
URI: http://hdl.handle.net/2445/192282
Related resource: https://doi.org/10.1016/j.cag.2022.09.008
ISSN: 0097-8493
Appears in Collections:Articles publicats en revistes (Matemàtiques i Informàtica)

Files in This Item:
File Description SizeFormat 
728164.pdf4.07 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons