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A Progressive Rendering Algorithm Using an Adaptive Perceptually Based Image Metric
Author(s) -
Farrugia JeanPhilippe,
Péroche Bernard
Publication year - 2004
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2004.00792.x
Subject(s) - rendering (computer graphics) , delaunay triangulation , computer science , artificial intelligence , computer vision , pixel , adaptive sampling , computer graphics , computation , algorithm , computer graphics (images) , mathematics , monte carlo method , statistics
Abstract In this paper, we propose to solve the global illumination problem through a progressive rendering method relying on an adaptive sampling of the image space. The refinement of this sample scheme is driven by an image metric based on a powerful vision model. A Delaunay triangulation of the sampled points is followed by a classification of these triangles into three classes. By interpolating each triangle according to the class it belongs to, we can obtain a high quality image by computing only a fraction of all the pixels and thus saving computation time. Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Perceptual Rendering, Global illumination