Representing BRDFs Using SOMs and MANs by westman last modified 09 August 2008 01:37 PM Authors: Murat Kurt*, Muhammed Gökhan Cinsdikici Ege University, International Computer Institute, Bornova, 35100 Izmir, Turkey * Corresponding author. Tel.: +90 232 342 32 32; fax: + 90 232 388 72 30. E-mail addresses: murat.kurt@ege.edu.tr (M. Kurt), muhammed.cinsdikici@ege.edu.tr (M. Cinsdikici). Abstract High-quality Monte Carlo image synthesis needs to use realistic bidirectional reflectance distribution functions (BRDFs) based on acquired reflectance data. In this study, we propose a novel model that contributes to solving memory problems and measurement noise problems of BRDFs. The model is a composite associative memory model constructed by integration of Kohonen s Self Organizing Feature Map (SOM), Mass Attraction Network (MAN), and it has been tested on data set acquired by Matusik et al.. Because it is based on table-lookups, it can t be categorized in analytical reflectance models. We show that our approach has acceptable compactness. We also show that it has more accuracy than both analytical BRDF models and Lawrence et al. s table-based model. In this work, we are able to create images efficiently under global illumination with less memory requirements. Keywords: SOM; MAN; BRDF representation; Reflection model;
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Representing BRDFs using SOMs and MANs
Kurt, Murat; Cinsdikici, Muhammed Gökhan
Follow ACM SIGGRAPH Computer Graphics
, Volume 42 (3)
Association for Computing Machinery – Aug 1, 2008
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