A wavelet-based framework for acquired radiometric quantity representation and accurate physical rendering
| Autor: | Yannick Boucher, Mathias Paulin, Luc Claustres |
|---|---|
| Přispěvatelé: | Visual Objects from Reality To Expression (IRIT-VORTEX), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées |
| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: |
Spectral power distribution
Photon mapping Global illumination 02 engineering and technology Wavelets 01 natural sciences Spectral rendering Rendering (computer graphics) Wavelet 0202 electrical engineering electronic engineering information engineering Computer vision 0101 mathematics Mathematics business.industry 010102 general mathematics 020207 software engineering Computer Graphics and Computer-Aided Design [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] Path tracing Light emission Computer Vision and Pattern Recognition Artificial intelligence business Software |
| Zdroj: | The Visual Computer The Visual Computer, Springer Verlag, 2006, 22 (4), pp.221-237. ⟨10.1007/s00371-006-0001-y⟩ |
| ISSN: | 0178-2789 |
| DOI: | 10.1007/s00371-006-0001-y⟩ |
| Popis: | International audience; In this paper, we present a framework based on a generic representation, which is able to handle most of the radiometric quantities required by global illumination software. A sparse representation in the wavelet space is built using the separation between the directional and the wavelength dependencies of such radiometric quantities. Particularly, we show how to use this representation for spectral power distribution, spectral reflectance and phase function measurements modeling. Then, we explain how the representation is useful for performing spectral rendering. On the one hand, it speeds up spectral path tracing by importance sampling to generate reflected directions and by avoiding expensive computations usually done on-the-fly. On the other hand, it allows efficient spectral photon mapping, both in terms of memory and speed. We also show how complex light emission from real luminaires can be efficiently sampled to emit photons with our numerical model. |
| Databáze: | OpenAIRE |
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