Modeling Real-time Rendering

Files

089-093.pdf (5.7 MB)

Date

2006

Authors

Wong, Chee-Kien Gabriyel
Wang, Jianliang

Publisher

The Eurographics Association

Abstract

The real-time rendering process is well known to be extremely dynamic and complex. This paper presents a novel approach to modeling this process via the system identification methodology. Given the process s dynamic nature arising from the possible myriad variations of render states, polygon streams and the non-linearities involved, we describe a modeling approach using neural networks with supervised training from application-generated data. By comparing the outputs of the neural network model s representation of the rendering process with actual empirical data, we discuss the accuracy of our approach in relation to the practical issues of integrating this study to real-world applications.

        @inproceedings{10.2312:egs.20061035
,
booktitle = {EG Short Papers
},
editor = {Dieter Fellner and Charles Hansen
},
title = {{Modeling Real-time Rendering
}},
author = {Wong, Chee-Kien Gabriyel and 
Wang, Jianliang
},
year = {2006
},
publisher = {The Eurographics Association
},
ISBN = {},
DOI = {10.2312/egs.20061035
}
}