%0 Conference Proceedings
%T Exploring Clustering Algorithms in the Appearance Modeling Problem
%D 2015
%A Nascimento, Fernando Melo,
%A Carvalho, André Britto de,
%A Andrade, Beatriz Trinchão,
%@affiliation Universidade Federal de Sergipe
%@affiliation Universidade Federal de Sergipe
%@affiliation Universidade Federal de Sergipe
%E Vieira, Thales Miranda de Almeida,
%E Mello, Vinicius Moreira,
%B Conference on Graphics, Patterns and Images, 28 (SIBGRAPI)
%C Salvador
%8 Aug. 26-29, 2015
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K BRDF, clustering, appearance modeling, genetic algorithm, NNLS, linear combination.
%X Modeling the appearance of a given material is a complex task with many approaches in the literature. One is to measure the BRDF of the material, which is time and resource consuming. One alternative is to use a linear combination of an existent BRDF-basis to approximate the material's appearance. However, the renderization of many BRDF-basis is also consuming, which could be eased by selecting a subset of the materials and use them as basis. Clustering algorithms can perform this task, by grouping BRDFs in clusters, where just one BRDF can represent one entire cluster. We use two classical and one evolutionary clustering algorithms to reduce the number of terms in the linear combination and a NNLS procedure to estimate the contributions of each BRDF-base in the reproduction of a desired material.
%@language en
%3 Exploring Clustering Algorithms in the Appearance Modeling Problem.pdf