Россия
ГРНТИ 50.07 Теоретические основы вычислительной техники
ББК 3297 Вычислительная техника
We describe a simple method to extract fluorescent characteristics of a surface by combining measurements by a "usual" gonioreflectormeter GSCM-4 and fluorimeter FP-8600. The fluorescent BDF consists of three components: glossy near-specular peak which is not fluorescent and white, highly diffuse “passive” part which is also not fluorescent but colored, and fluorescent part. The latter obviates Kasha’s-Vavilov’s rule (factorization) with good accuracy. The BDFs obtained were used in rendering and shown good visual match with the natural photographs.
fluorescence, fluorescent emission, fluorescence efficiency, Bi-directional Scattering Function (BSDF)
1. Lakowicz, Joseph R. (1999). Principles of FluorescenceSpectroscopy. Kluwer Academic / Plenum Publishers. ISBN978-0-387-31278-1
2. P Kratohvil, J and P Lee, M and Kerker, M. Angulardistribution of fluorescence from small particles. // Appliedoptics, vol. 17, 1978, p. 1978-1980
3. Hang Lee, R. E. Benner, J. B. Fenn, and R. K. Chang.Angular distribution of fluorescence from liquids andmonodispersed spheres by evanescent wave excitation. Appl.Opt. 18(6) 862-868 (1979)
4. Fred E. Nicodemus. Directional Reflectance and Emissivityof an Opaque Surface. // Applied Optics, vol. 4(7), 1965, p.767-775.
5. Matthias B. Hullin, Johannes Hanika, Boris Ajdin, HansPeter Seidel, Jan Kautz, and Hendrik P. A. Lensch. 2010.Acquisition and analysis of bispectral bidirectionalreflectance and reradiation distribution functions. In ACMSIGGRAPH 2010 papers (SIGGRAPH '10), Hugues Hoppe(Ed.). ACM, New York, NY, USA, Article 97, 7 pages. DOI:https://doi.org/10.1145/1833349.1778834
6. Ying Fu, Antony Lam, Yasuyuki Kobashi, Imari Sato,Takahiro Okabe, and Yoichi Sato. 2014. Reflectance andFluorescent Spectra Recovery Based on FluorescentChromaticity Invariance under Varying Illumination. InProceedings of the 2014 IEEE Conference on ComputerVision and Pattern Recognition (CVPR’14). IEEE ComputerSociety, Washington, DC, USA, 2171-2178. DOI:https://doi.org/10.1109/CVPR.2014.278
7. Zhang, Cherry & Sato, Imari. (2011). Separating reflectiveand fluorescent components of an image. Proceedings of theIEEE Computer Society Conference on Computer Vision andPattern Recognition. p. 185-192https://doi.org/10.1109/CVPR.2011.5995704
8. Wilkie, Alexander & Weidlich, Andrea & Larboulette,Caroline & Purgathofer, Werner. (2006). A reflectancemodel for diffuse fluorescent surfaces. P. 321-331.https://doi.org/10.1145/1174429.1174484
9. Kasha’s rule. Wikipedia:https://en.wikipedia.org/wiki/Kasha%27s_rule.
10. IUPAC. Compendium of Chemical Terminology, 2nd ed.(the ""Gold Book""). Compiled by A. D. McNaught and A.Wilkinson. Blackwell Scientific Publications, Oxford (1997).Online version (2019-) created by S. J. Chalk. ISBN 0-9678550-9-8 https://doi.org/10.1351/goldbook
11. del Valle, Juan Carlos and Catalán, Javier. Kasha’s rule: areappraisal. // Phys. Chem. Chem. Phys., vol. 21, no 19,2019, p. 10061-10069.http://dx.doi.org/10.1039/C9CP00739C.
12. Dmitry Zhdanov, Sergey Ershov, Leo Shapiro, VadimSokolov, Alexey Voloboy, Vladimir Galaktionov, IgorPotemin. Realistic rendering of scenes with anisotropicmedia // Optical Engineering, 58(8).
