%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2016/07.22.17.41
%2 sid.inpe.br/sibgrapi/2016/07.22.17.41.50
%@doi 10.1109/SIBGRAPI.2016.067
%T Improving the Selection of Bases of BRDFs for Appearance Preservation
%D 2016
%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 Aliaga, Daniel G.,
%E Davis, Larry S.,
%E Farias, Ricardo C.,
%E Fernandes, Leandro A. F.,
%E Gibson, Stuart J.,
%E Giraldi, Gilson A.,
%E Gois, João Paulo,
%E Maciel, Anderson,
%E Menotti, David,
%E Miranda, Paulo A. V.,
%E Musse, Soraia,
%E Namikawa, Laercio,
%E Pamplona, Mauricio,
%E Papa, João Paulo,
%E Santos, Jefersson dos,
%E Schwartz, William Robson,
%E Thomaz, Carlos E.,
%B Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)
%C São José dos Campos, SP, Brazil
%8 4-7 Oct. 2016
%I IEEE Computer Society´s Conference Publishing Services
%J Los Alamitos
%S Proceedings
%K clustering, appearance modeling, genetic algorithms, linear combination of BRDFs.
%X An important step in the appearance preservation of real materials is the analysis of how they interact with light. Since this phenomena happens at a microscopic level, heuristics with different complexity have been developed to capture and reproduce it. In order to minimize sampling efforts, one of these approaches consists in representing the reflectance of a material as a linear combination of a basis of known reflectance functions. To accomplish realistic and efficient representations, this basis must be expressive and contain a reduced number of elements. This work presents three approaches to select such basis. The first one performs an empirical leave-one-out optimization procedure. The other two are based on classical and evolutionary clustering algorithms. To improve clustering results, a new BRDF-oriented fitness function is designed. These approaches are evaluated using NNLS algorithm to estimate sampled materials and a comparison based on numerical precision is performed.
%@language en
%3 Sibgrapi_2016.pdf