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Reference TypeConference Paper (Conference Proceedings)
Last Update2015: (UTC) administrator
Metadata Last Update2016: (UTC) administrator
Citation KeyNascimentoCarvAndr:2015:ExClAl
TitleExploring Clustering Algorithms in the Appearance Modeling Problem
Access Date2022, Jan. 28
Number of Files1
Size1058 KiB
Context area
Author1 Nascimento, Fernando Melo
2 Carvalho, André Britto de
3 Andrade, Beatriz Trinchão
Affiliation1 Universidade Federal de Sergipe
2 Universidade Federal de Sergipe
3 Universidade Federal de Sergipe
EditorVieira, Thales Miranda de Almeida
Mello, Vinicius Moreira
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2015-07-23 22:13:54 :: -> administrator ::
2016-06-03 21:18:37 :: administrator -> :: 2015
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
appearance modeling
genetic algorithm
linear combination
AbstractModeling 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. > SDLA > SIBGRAPI 2015 > Exploring Clustering Algorithms...
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Next Higher Units8JMKD3MGPBW34M/3K24PF8
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