Name
Abstract | ||
|---|---|---|
The need to manually match the appearance of a material in two or more different rendering tools is common in digital 3D product design, due to the wide range of tools and material models commonly used, and a lack of standards to exchange materials data. Since the effect of BRDF parameters on rendered images is non-uniform, visually matching to a reference is time consuming and error-prone. We present an automatic BRDF remapping technique to match the appearance of a source material model to a target, providing a mapping between their parameter spaces. Our framework, based on Genetic Algorithm optimization and an image space similarity metric, provides a faithful mapping among analytical BRDFs, even when the BRDF models are deeply different. Objective and perceptual evaluations confirm the efficacy of the framework.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3214745.3214807 | SIGGRAPH '18: Special Interest Group on Computer Graphics and Interactive Techniques Conference
Vancouver
British Columbia
Canada
August, 2018 |
Keywords | DocType | ISBN |
BRDF model,Perceptual validation,Materials,Surface perception | Conference | 978-1-4503-5820-0 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dar'ya Guarnera | 1 | 1 | 1.71 |
| Giuseppe Claudio Guarnera | 2 | 104 | 13.02 |
| Matteo Toscani | 3 | 2 | 2.40 |
| Mashhuda Glencross | 4 | 2 | 2.40 |
| Baihua Li | 5 | 176 | 21.71 |
| Jon Yngve Hardeberg | 6 | 2 | 1.38 |
| Karl Gegenfurtner | 7 | 2 | 1.04 |