Adaptive slices for acquisition of anisotropic BRDF
- 83 Downloads
Abstract
BRDF continues to be used as a fundamental tool for representing material appearance in computer graphics. In this paper we present a practical adaptive method for acquisition of anisotropic BRDF, based on sparse adaptive measurement of the complete four-dimensional BRDF space by means of one-dimensional slices, which form a sparse four-dimensional structure in the BRDF space, and can be measured by continuous movements of a light source and sensor. Such a sampling approach is advantageous especially for gonioreflectometer-based measurement devices where the mechanical travel of a light source and a sensor imposes a significant time constraint. In order to evaluate our method, we have performed adaptive measurements of three materials and we simulated adaptive measurements of thirteen others. This method has one quarter the reconstruction error of that resulting from regular non-adaptive BRDF measurements using the same number of measured samples. Our method is almost twice as good as a previous adaptive method, and it requires from two to five times fewer samples to achieve the same results as alternative approaches.
Keywords
anisotropic BRDF slice samplingNotes
Acknowledgements
This research was supported by Czech Science Foundation grant 17-02652S.
Supplementary material
References
- [1]Nicodemus, F. E.; Richmond, J. C.; Hsia, J. J.; Ginsburg, I. W.; Limperis, T. Geometrical considerations and nomenclature for reflectance. U.S. Department of Commerce, National Bureau of Standards, 1977.Google Scholar
- [2]Filip, J.; Vavra, R.; Haindl, M.; Zid, P.; Krupicka, M.; Havran, V. BRDF slices: Accurate adaptive anisotropic appearance acquisition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1468–1473, 2013.Google Scholar
- [3]Ghosh, A.; Achutha, S.; Heidrich, W.; O’Toole, M. BRDF acquisition with basis illumination. In: Proceedings of the IEEE 11th International Conference on Computer Vision, 1–8, 2007.Google Scholar
- [4]Wang, J.; Zhao, S.; Tong, X.; Snyder, J.; Guo, B. Modeling anisotropic surface reflectance with examplebased microfacet synthesis. ACM Transactions on Graphics Vol. 27, No. 3, Article No. 41, 2008.Google Scholar
- [5]Press, W. H.; Teukolsky, S. A.; Vetterling, W. T.; Flannery, B. P. Numerical Recipes in C: The Art of Scientific Computing, 2nd edn. Cambridge University Press, 1992.MATHGoogle Scholar
- [6]Fuchs, M.; Blanz, V.; Lensch, H. P.; Seidel, H.-P. Adaptive sampling of reflectance fields. ACM Transactions on Graphics Vol. 26, No. 2, Article No. 10, 2007.Google Scholar
- [7]Lensch, H. P.; Lang, J.; Sá, A. M.; Seidel, H.-P. Planned sampling of spatially varying BRDFs. Computer Graphics Forum Vol. 22, No. 3, 473–482, 2003.CrossRefGoogle Scholar
- [8]Nauyoks, S. E.; Freda, S.; Marciniak, M. A. Dynamic data driven bidirectional reflectance distribution function measurement system. In: Proceedings of the SPIE 9205, Reflection, Scattering, and Diffraction from Surfaces IV, 920502, 2014.Google Scholar
- [9]Ward, G.; Kurt, M.; Bonneel, N. Reducing anisotropic BSDF measurement to common practice. In: Proceedings of the Workshop of Material Appearance Modeling, 5–8, 2014.Google Scholar
- [10]Matusik, W.; Pfister, H.; Brand, M.; McMillan, L. Efficient isotropic BRDF measurement. In: Proceedings of the 14th Eurographics Workshop on Rendering, 241–247, 2003.Google Scholar
- [11]Nöll, T.; Köhler, J.; Stricker, D. Robust and accurate non-parametric estimation of reflectance using basis decomposition and correction functions. In: Proceedings of the European Conference on Computer Vision, 376–391, 2014.Google Scholar
- [12]Nielsen, J. B.; Jensen, H. W.; Ramamoorthi, R. On optimal, minimal BRDF sampling for reflectance acquisition. ACM Transactions on Graphics Vol. 34, No. 6, Article No. 186, 2015.Google Scholar
- [13]Vavra, R.; Filip, J. Minimal sampling for effective acquisition of anisotropic BRDFs. Computer Graphics Forum Vol. 35, No. 7, 299–309, 2016.CrossRefGoogle Scholar
- [14]Coxeter, H. S. M. Introduction to Geometry. New York: Wiley, 1969.MATHGoogle Scholar
- [15]Bookstein, F. L. Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 11, No. 6, 567–585, 1989.CrossRefMATHGoogle Scholar
- [16]Gortler, S. J.; Grzeszczuk, R.; Szeliski, R.; Cohen, M. F. The lumigraph. In: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, 43–54, 1996.Google Scholar
- [17]Bonneel, N.; van de Panne, M.; Paris, S.; Heidrich, W. Displacement interpolation using Lagrangian mass transport. ACM Transactions on Graphics Vol. 30, No. 6, Article No. 158, 2011.Google Scholar
- [18]Bilgili, A.; Öztürk, A.; Kurt, M. A general BRDF representation based on tensor decomposition. Computer Graphics Forum Vol. 30, No. 8, 2427–2439, 2011.CrossRefGoogle Scholar
- [19]Filip, J. Restoring illumination and view dependent data from sparse samples. In: Proceedings of the 21th International Conference on Pattern Recognition, 1391–1394, 2012.Google Scholar
- [20]Kurt, M.; Szirmay-Kalos, L.; Křivánek, J. An anisotropic BRDF model for fitting and Monte Carlo rendering. ACM SIGGRAPH Computer Graphics Vol. 44, No. 1, Article No. 3, 2010.Google Scholar
- [21]Ngan, A.; Durand, F.; Matusik, W. Experimental analysis of BRDF models. In: Proceedings of the Eurographics Symposium on Rendering, 117–126, 2005.Google Scholar
- [22]Ward, G. J. Measuring and modeling anisotropic reflection. ACM SIGGRAPH Computer Graphics Vol. 26, No. 2, 265–272, 1992.CrossRefGoogle Scholar
- [23]Filip, J.; Vavra, R.; Havlicek, M. Effective acquisition of dense anisotropic BRDF. In: Proceedings of the 22nd International Conference on Pattern Recognition, 2047–2052, 2014.Google Scholar
- [24]Sattler, M.; Sarlette, R.; Klein, R. Efficient and realistic visualization of cloth. In: Proceedings of the Eurographics Symposium on Rendering, 167–178, 2003.Google Scholar
- [25]Vavra, R.; Filip, J. BRDF interpolation using anisotropic stencils. Electronic Imaging Vol. 2016, No. 9, 1–6, 2016.CrossRefGoogle Scholar
Copyright information
Open Access The articles published in this journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Other papers from this open access journal are available free of charge from http://www.springer.com/journal/41095. To submit a manuscript, please go to https://www.editorialmanager.com/cvmj.