Fast multi-resolution shading of acquired reflectance using bandwidth prediction

Mahdi M. Bagher; Cyril Soler; Kartic Subr; Laurent Belcour; Nicolas Holzschuch

inria-00617669, version 2

Fast multi-resolution shading of acquired reflectance using bandwidth prediction

Mahdi M. Bagher ( Author to contact preferably , )^a^, 1, 2, Cyril Soler ()^c^, 1, 3, Kartic Subr ()^c^, 1, Laurent Belcour ()^b^, 1, Nicolas Holzschuch ()^c^, 1

N° RR-7839 (2011)

Abstract: Shading complex materials such as acquired reflectances in multi-light environments is computationally expensive. Estimating the shading integral involves stochastic sampling of the incident illumination independently at several pixels. The number of samples required for this integration varies across the image, depending on an intricate combination of several factors. Ignoring visibility, adaptively distributing computational budget across the pixels for shading is already a challenging problem. In this paper we present a systematic approach to accelerate shading, by rapidly predicting the approximate spatial and angular variation in the local light field arriving at each pixel. Our estimation of variation is in the form of local bandwidth, and accounts for combinations of a variety of factors: the reflectance at the pixel, the nature of the illumination, the local geometry and the camera position relative to the geometry and lighting. The speed-up, using our method, is from a combination of two factors. First, rather than shade every pixel, we use this predicted variation to direct computational effort towards regions of the image with high local variation. Second, we use the predicted variance of the shading integrals, to cleverly distribute a fixed total budget of shading samples across the pixels. For example, reflection off specular objects is estimated using fewer samples than off diffuse objects.

a – INRIA Grenoble Rhone-Alpes
b – Université Joseph Fourier - Grenoble I
c – INRIA
1: ARTIS (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
CNRS : UMR5224 – INRIA – Laboratoire Jean Kuntzmann – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
2: MAVERICK (Inria Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
CNRS : UMR5224 – INRIA – Laboratoire Jean Kuntzmann – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG) – Université Pierre-Mendès-France - Grenoble II
3: Laboratoire Jean Kuntzmann (LJK)
CNRS : UMR5224 – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – Institut Polytechnique de Grenoble - Grenoble Institute of Technology

inria-00617669, version 2
http://hal.inria.fr/inria-00617669
oai:hal.inria.fr:inria-00617669
From: Mahdi Mohammadbagher <>
Submitted on: Thursday, 15 December 2011 11:54:59
Updated on: Thursday, 7 February 2013 15:36:16

See detailed view

Associated documents

PDF :

Export

Bibtex EndNote TEI RefWorks

%% inria-00617669, version 2
%% http://hal.inria.fr/inria-00617669
@techreport{bagher:inria-00617669,
    hal_id = {inria-00617669},
    url = {http://hal.inria.fr/inria-00617669},
    title = {{Fast multi-resolution shading of acquired reflectance using bandwidth prediction}},
    author = {Bagher, Mahdi, M. and Soler, Cyril and Subr, Kartic and Belcour, Laurent and Holzschuch, Nicolas},
    abstract = {{Shading complex materials such as acquired reflectances in multi-light environments is computationally expensive. Estimating the shading integral involves stochastic sampling of the incident illumination independently at several pixels. The number of samples required for this integration varies across the image, depending on an intricate combination of several factors. Ignoring visibility, adaptively distributing computational budget across the pixels for shading is already a challenging problem. In this paper we present a systematic approach to accelerate shading, by rapidly predicting the approximate spatial and angular variation in the local light field arriving at each pixel. Our estimation of variation is in the form of local bandwidth, and accounts for combinations of a variety of factors: the reflectance at the pixel, the nature of the illumination, the local geometry and the camera position relative to the geometry and lighting. The speed-up, using our method, is from a combination of two factors. First, rather than shade every pixel, we use this predicted variation to direct computational effort towards regions of the image with high local variation. Second, we use the predicted variance of the shading integrals, to cleverly distribute a fixed total budget of shading samples across the pixels. For example, reflection off specular objects is estimated using fewer samples than off diffuse objects.}},
    keywords = {Rendering, Illumination, Shading, Reflectance, BRDF, Frequency Analysis, Rendu, illumination, {\'e}clairage, mod{\`e}les de mat{\'e}riaux, analyse fr{\'e}quentielle, interactivit{\'e}},
    language = {English},
    affiliation = {ARTIS - INRIA Grenoble Rh{\^o}ne-Alpes / LJK Laboratoire Jean Kuntzmann , MAVERICK - Inria Grenoble Rh{\^o}ne-Alpes / LJK Laboratoire Jean Kuntzmann , Laboratoire Jean Kuntzmann - LJK},
    pages = {22},
    type = {Research Report},
    institution = {INRIA},
    number = {RR-7839},
    year = {2011},
    month = Aug,
    pdf = {http://hal.inria.fr/inria-00617669/PDF/RR-7839-optimized.pdf},
}

%F inria-00617669, version 2
%0 Report
%U http://hal.inria.fr/inria-00617669
%2 INFO:INFO_GR
%T Fast multi-resolution shading of acquired reflectance using bandwidth prediction
%A Bagher, Mahdi
%A Soler, Cyril
%A Subr, Kartic
%A Belcour, Laurent
%A Holzschuch, Nicolas
%+ ARTIS - INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann , MAVERICK - Inria Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann , Laboratoire Jean Kuntzmann - LJK
%X Shading complex materials such as acquired reflectances in multi-light environments is computationally expensive. Estimating the shading integral involves stochastic sampling of the incident illumination independently at several pixels. The number of samples required for this integration varies across the image, depending on an intricate combination of several factors. Ignoring visibility, adaptively distributing computational budget across the pixels for shading is already a challenging problem. In this paper we present a systematic approach to accelerate shading, by rapidly predicting the approximate spatial and angular variation in the local light field arriving at each pixel. Our estimation of variation is in the form of local bandwidth, and accounts for combinations of a variety of factors: the reflectance at the pixel, the nature of the illumination, the local geometry and the camera position relative to the geometry and lighting. The speed-up, using our method, is from a combination of two factors. First, rather than shade every pixel, we use this predicted variation to direct computational effort towards regions of the image with high local variation. Second, we use the predicted variance of the shading integrals, to cleverly distribute a fixed total budget of shading samples across the pixels. For example, reflection off specular objects is estimated using fewer samples than off diffuse objects.
%2 La simulation de l'éclairage est un problème complexe, en particulier sur des matériaux réels, mesurés. Le calcul de l'éclairage suppose le calcul d'une intégrale, qui a son tour suppose d'échantillonner l'éclairage indicdent en différents points. Le nombre d'échantillons nécessaires varie en fonction de plusieurs facteurs (géométrie, réflectance, éclairage incident). Effectuer ce calcul de façon efficace est encore un problème difficile. Ce rapport présente une technique pour le rendu interactif de matériaux complexes, tels que des réflectances mesurées. Nous commençons par calculer la fréquence maximale de l'éclairage incident à un pixel. Ce calcul de fréquence se fait aussi bien en espace qu'en angle, et tient compte de différents facteurs : la réflectance de l'objet qui se projette sur le pixel, la nature de l'éclairage, la géométrie locale et la position de la caméra. Nous exploitons ensuite cette information fréquentielle pour guider l'échantillonnage. L'ensemble de ces calculs se fait au moment de l'affichage de la scène, sans pré-calculs basés sur la géométrie. Notre technique est donc adaptée pour l'édition interactive d'objets dotés de réflectances complexes.
%G English
%2 Research Report
%P 22
%8 2011-08-30
%2 http://hal.inria.fr/hal-00652066
%K Rendering, Illumination, Shading, Reflectance, BRDF, Frequency Analysis, Rendu, illumination, éclairage, modèles de matériaux, analyse fréquentielle, interactivité
%Z RR-7839

<?xml version="1.0" encoding="UTF-8"?>
<listBibl xmlns="http://www.tei-c.org/ns/1.0" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML">
<listBibl type="report"><head>Research reports</head>
<biblStruct type="report" xml:id="inria-00617669"><monogr>
<author><persName><forename>Mahdi</forename><surname>Bagher</surname></persName>
<affiliation>
<orgName type="laboratory">INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann</orgName>
<orgName type="team">ARTIS</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR5224</orgName>
<orgName type="institution">INRIA</orgName>
<orgName type="institution">Laboratoire Jean Kuntzmann</orgName>
<orgName type="institution">Université Joseph Fourier - Grenoble I</orgName>
<orgName type="institution">Institut National Polytechnique de Grenoble (INPG)</orgName>
</affiliation>
<affiliation>
<orgName type="laboratory">Inria Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann</orgName>
<orgName type="team">MAVERICK</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR5224</orgName>
<orgName type="institution">INRIA</orgName>
<orgName type="institution">Laboratoire Jean Kuntzmann</orgName>
<orgName type="institution">Université Joseph Fourier - Grenoble I</orgName>
<orgName type="institution">Institut National Polytechnique de Grenoble (INPG)</orgName>
<orgName type="institution">Université Pierre-Mendès-France - Grenoble II</orgName>
</affiliation>
</author>
<author><persName><forename>Cyril</forename><surname>Soler</surname></persName>
<affiliation>
<orgName type="laboratory">INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann</orgName>
<orgName type="team">ARTIS</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR5224</orgName>
<orgName type="institution">INRIA</orgName>
<orgName type="institution">Laboratoire Jean Kuntzmann</orgName>
<orgName type="institution">Université Joseph Fourier - Grenoble I</orgName>
<orgName type="institution">Institut National Polytechnique de Grenoble (INPG)</orgName>
</affiliation>
<affiliation>
<orgName type="laboratory">LJK</orgName>
<orgName type="team">Laboratoire Jean Kuntzmann</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR5224</orgName>
<orgName type="institution">Université Joseph Fourier - Grenoble I</orgName>
<orgName type="institution">Université Pierre-Mendès-France - Grenoble II</orgName>
<orgName type="institution">Institut Polytechnique de Grenoble - Grenoble Institute of Technology</orgName>
</affiliation>
</author>
<author><persName><forename>Kartic</forename><surname>Subr</surname></persName>
<affiliation>
<orgName type="laboratory">INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann</orgName>
<orgName type="team">ARTIS</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR5224</orgName>
<orgName type="institution">INRIA</orgName>
<orgName type="institution">Laboratoire Jean Kuntzmann</orgName>
<orgName type="institution">Université Joseph Fourier - Grenoble I</orgName>
<orgName type="institution">Institut National Polytechnique de Grenoble (INPG)</orgName>
</affiliation>
</author>
<author><persName><forename>Laurent</forename><surname>Belcour</surname></persName>
<affiliation>
<orgName type="laboratory">INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann</orgName>
<orgName type="team">ARTIS</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR5224</orgName>
<orgName type="institution">INRIA</orgName>
<orgName type="institution">Laboratoire Jean Kuntzmann</orgName>
<orgName type="institution">Université Joseph Fourier - Grenoble I</orgName>
<orgName type="institution">Institut National Polytechnique de Grenoble (INPG)</orgName>
</affiliation>
</author>
<author><persName><forename>Nicolas</forename><surname>Holzschuch</surname></persName>
<affiliation>
<orgName type="laboratory">INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann</orgName>
<orgName type="team">ARTIS</orgName>
<country>FR</country>
<orgName type="institution">CNRS : UMR5224</orgName>
<orgName type="institution">INRIA</orgName>
<orgName type="institution">Laboratoire Jean Kuntzmann</orgName>
<orgName type="institution">Université Joseph Fourier - Grenoble I</orgName>
<orgName type="institution">Institut National Polytechnique de Grenoble (INPG)</orgName>
</affiliation>
</author>
<title type="main" level="m">Fast multi-resolution shading of acquired reflectance using bandwidth prediction</title><title type="main" level="m">Fast multi-resolution shading of acquired reflectance using bandwidth prediction</title><imprint><biblScope type="publicationDate">2011-08-30</biblScope><biblScope type="pp">22</biblScope></imprint></monogr><idno type="HALid">http://hal.inria.fr/inria-00617669</idno><idno type="HALFile">http://hal.inria.fr/inria-00617669/PDF/RR-7839-optimized.pdf</idno></biblStruct>
</listBibl>
</listBibl>

Fast multi-resolution shading of acquired reflectance using bandwidth prediction

Associated documents

See also

Export