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Planned Sampling of Spatially Varying BRDFs
Author(s) -
Lensch Hendrik P.A.,
Lang Jochen,
Sá Asla M.,
Seidel HansPeter
Publication year - 2003
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 - 10.1111/1467-8659.00695
Subject(s) - bidirectional reflectance distribution function , computer science , computer vision , computer graphics (images) , computer graphics , artificial intelligence , object (grammar) , digitization , graphics , reflection (computer programming) , representation (politics) , process (computing) , reflectivity , optics , physics , operating system , programming language , politics , law , political science
Measuring reflection properties of a 3D object involves capturing images for numerous viewing and lightingdirections. We present a method to select advantageous measurement directions based on analyzing the estimationof the bi‐directional reflectance distribution function (BRDF). The selected directions minimize the uncertaintyin the estimated parameters of the BRDF. As a result, few measurements suffice to produce models that describethe reflectance behavior well. Moreover, the uncertainty measure can be computed fast on modern graphics cardsby exploiting their capability to render into a floating‐point frame buffer. This forms the basis of an acquisitionplanner capable of guiding experts and non‐experts alike through the BRDF acquisition process. We demonstratethat spatially varying reflection properties can be captured more efficiently for real‐world applications using ouracquisition planner. Categories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Three‐DimensionalGraphics and Realism Virtual Reality I.4.1 [Computer Vision]: Digitization and Image Capture, Reflectance