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Selective BRDFs for High Fidelity Rendering.

Bradley, T., Debattista, K., Bashford-Rogers, T., Harvey, C., Doukakis, E. and Chalmers, A., 2016. Selective BRDFs for High Fidelity Rendering. In: Computer Graphics and Visual Computing (CGVC), 15-16 September 2016, Bournemouth, England.

Full text available as:

selective.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.


DOI: 10.2312/cgvc.20161297


High fidelity rendering systems rely on accurate material representations to produce a realistic visual appearance. However, these accurate models can be slow to evaluate. This work presents an approach for approximating these high accuracy reflectance models with faster, less complicated functions in regions of an image which possess low visual importance. A subjective rating experiment was conducted in which thirty participants were asked to assess the similarity of scenes rendered with low quality reflectance models, a high quality data-driven model and saliency based hybrids of those images. In two out of the three scenes that were evaluated significant differences were not found between the hybrid and reference images. This implies that in less visually salient regions of an image computational gains can be achieved by approximating computationally expensive materials with simpler analytic models.

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Science & Technology
ID Code:29547
Deposited By: Symplectic RT2
Deposited On:31 Jul 2017 13:08
Last Modified:14 Mar 2022 14:06


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