NDLI: Representing BRDFs using SOMs and MANs

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Representing BRDFs using SOMs and MANs

Content Provider	ACM Digital Library
Author	Kurt, Murat Cinsdikici, Muhammed Gökhan
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.
Starting Page	1
Ending Page	18
Page Count	18
File Format	PDF
ISSN	00978930
DOI	10.1145/1408626.1408630
Journal	ACM SIGGRAPH Computer Graphics (COMG)
Volume Number	42
Issue Number	3
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1988-08-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Som Brdf representation Reflection model Man Table-based model
Content Type	Text
Resource Type	Article
Subject	Computer Science Computer Graphics and Computer-Aided Design

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