Dar'ya Guarnera
Mashhuda Glencross
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.
Supplemental Material
- Roland W. Fleming. 2014. Visual perception of materials and their properties. Vision Research 94 (2014), 62 -- 75.Google Scholar
Cross Ref
- D. Guarnera, G.C. Guarnera, A. Ghosh, C. Denk, and M. Glencross. 2016. BRDF Representation and Acquisition. Computer Graphics Forum 35, 2 (2016), 625--650.Google Scholar
- M Kleiner, D Brainard, and D Pelli. 2007. What's new in Psychtoolbox-3? Perception 36, 1. Issue 14.Google Scholar
- Addy Ngan, Frédo Durand, and Wojciech Matusik. 2006. Image-driven Navigation of Analytical BRDF Models. In Proceedings of the 17th Eurographics Conference on Rendering Techniques (EGSR '06). Eurographics Association, 399--407. Google ScholarDigital Library
- Alejandro Sztrajman, Jaroslav Krivanek, Alexander Wilkie, and Tim Weyrich. 2017. Image-based Remapping of Material Appearance. In Proc. 5th Workshop on Material Appearance Modeling (MAM '17), Reinhard Klein and Holly Rushmeier (Eds.). The Eurographics Association, Aire-la-Ville, Switzerland, Switzerland.Google ScholarDigital Library
- Matteo Toscani, Matteo Valsecchi, and Karl R. Gegenfurtner. 2017. Lightness perception for matte and glossy complex shapes. Vision Research 131 (2017), 82 -- 95.Google ScholarCross Ref
- B. Walter, S. R Marschner, H. Li, and K. E Torrance. 2007. Microfacet models for refraction through rough surfaces. In Proceedings of the 18th Eurographics conference on Rendering Techniques. Eurographics Association, 195--206. Google ScholarDigital Library
Index Terms
Perceptually validated analytical BRDFs parameters remapping
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