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Characteristic Point Maps
Author(s) -
Wu Hongzhi,
Dorsey Julie,
Rushmeier Holly
Publication year - 2009
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.1467-8659.2009.01500.x
Subject(s) - rendering (computer graphics) , preprocessor , computer science , radiance , sampling (signal processing) , bidirectional reflectance distribution function , algorithm , artificial intelligence , mathematics , computer graphics (images) , computer vision , reflectivity , geometry , remote sensing , geography , optics , physics , filter (signal processing)
Extremely dense spatial sampling is often needed to prevent aliasing when rendering objects with high frequency variations in geometry and reflectance. To accelerate the rendering process, we introduce characteristic point maps (CPMs), a hierarchy of view‐independent points, which are chosen to preserve the appearance of the original model across different scales. In preprocessing, randomized matrix column sampling is used to reduce an initial dense sampling to a minimum number of characteristic points with associated weights. In rendering, the reflected radiance is computed using a weighted average of reflectances from characteristic points. Unlike existing techniques, our approach requires no restrictions on the original geometry or reflectance functions.