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Opendata, web and dolomites

BMC Rendering

Bayesian Monte Carlo for Global Illumination

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

BMC Rendering project word cloud

Explore the words cloud of the BMC Rendering project. It provides you a very rough idea of what is the project "BMC Rendering" about.

confirmed samples hence computed diffuse dimension realistic bmc light trend strategy dependent innovative holy simulation bayesian curse monte accurate first works techniques quality purely classic one incipient 2013 ray numerical materials cg graphics grail placement incorporate adaptive synthesize integral prior model rendering double photo integration proven algorithms computer outperform virtual careful mc generalized al successfully images illumination nevertheless carlo brouillat transport turns physically random sampling marques plan weighting resorting dimensionality paths scene describes tracing solving estimate approximations cumbersome 2009 approximation image et

Project "BMC Rendering" data sheet

The following table provides information about the project.

Coordinator	UNIVERSIDAD POMPEU FABRA Organization address address: PLACA DE LA MERCE, 10-12 city: BARCELONA postcode: 8002 website: www.upf.edu contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Spain [ES]
Project website	https://www.upf.edu/web/gti/projects/-/asset_publisher/jfIeaTmTumwy/content/id/214148534/maximized
Total cost	158˙121 €
EC max contribution	158˙121 € (100%)
Programme	1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
Code Call	H2020-MSCA-IF-2015
Funding Scheme	MSCA-IF-EF-ST
Starting year	2016
Duration (year-month-day)	from 2016-08-01 to 2018-07-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSIDAD POMPEU FABRA UNIVERSIDAD POMPEU FABRA Organization address address: PLACA DE LA MERCE, 10-12 city: BARCELONA postcode: 8002 website: www.upf.edu contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (BARCELONA)	coordinator	158˙121.00

Map

Project objective

One of the most challenging problems in computer graphics (CG) is to synthesize physically-based realistic images given an accurate model of a virtual scene. Rendering a photo-realistic image requires solving the illumination integral which describes the light transport on a scene, and whose value is in general computed by resorting to numerical approximations such as those based on Monte Carlo (MC) methods.

The quality of the approximation of those methods is strongly dependent on the samples placement and weighting. Therefore several works have focused on improving the purely random sampling used in classic MC techniques. In particular, a recent and innovative approach called Bayesian Monte Carlo (BMC) has been proven to greatly outperform classic MC methods due to its ability to incorporate prior knowledge which is then used for careful samples weighting and placement. This method was successfully applied in rendering by Brouillat et al. (2009) but only for diffuse materials. Recently, Marques et al. (2013) have generalized the application of BMC to non-diffuse materials.

These works have confirmed the potential of BMC for efficiently solving the rendering integral, making it a new trend in computer graphics. Nevertheless, the use of BMC in CG is still in an incipient phase and its application to more evolved and widely used rendering algorithms remains cumbersome.

We propose a research plan with a double objective: first, to develop an adaptive sampling strategy for BMC integration, where a new set of samples is used to further improve the approximation of the previous integral estimate. Second, to apply BMC to higher dimension problems such as path tracing, where the integration over all possible ray paths turns the approximation into a high-dimension integration problem, hence addressing the holy grail of the integration in light transport simulation: the curse of dimensionality.

Publications

List of publications.
year	authors and title	journal	last update
2019	Ricardo Marques, Christian Bouville, Kadi Bouatouch, Josep Blat Extensible Spherical Fibonacci Grids published pages: 1-1, ISSN: 1077-2626, DOI: 10.1109/tvcg.2019.2952131	IEEE Transactions on Visualization and Computer Graphics	2019-11-26
2018	Ricardo Marques, Christian Bouville, Kadi Bouatouch Optimal Sample Weights for Hemispherical Integral Quadratures published pages: , ISSN: 0167-7055, DOI: 10.1111/cgf.13392	Computer Graphics Forum	2019-06-13
2019	Ricardo Marques, Christian Bouville, Kadi Bouatouch Spectral Analysis of Quadrature Rules and Fourier Truncation-based Methods Applied to Shading Integrals published pages: 1-1, ISSN: 1077-2626, DOI: 10.1109/tvcg.2019.2913418	IEEE Transactions on Visualization and Computer Graphics	2019-06-06

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