EG Short Papers
2006
pp. 89-93

Modeling Real-time Rendering

Chee-Kien Gabriyel Wong and Jianliang Wang

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.

I.3.6 [Computer Graphics]: Interaction techniques

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