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Authors: Eduardo Fernández 1 ; Pablo Ezzatti 1 ; Sergio Nesmachnow 1 and Gonzalo Besuievsky 2

Affiliations: 1 Universidad de la República, Uruguay ; 2 Universitat de Girona, Spain

ISBN: 978-989-8565-02-0

Keyword(s): Radiosity, Real-time Global Illumination.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Real-Time Rendering ; Rendering ; Rendering Algorithms

Abstract: Radiosity methods are part of the global illumination techniques, which deal with the problem of generating photorealistic images in 3D scenes with Lambertian surfaces. Low-rank radiosity is a O(nk) method, where n is the number of polygons and k is the rank of the matrix used as a direct transport operator. This method allows calculating, in real-time and with infinite bounces, the illumination of a scene with static geometry and dynamic lighting. In this paper we present a new methodology for low-rank radiosity calculation based on the use of sparse matrices, which significantly reduces the memory storage required and achieves speedup improvements over the original low-rank method. Experimental analysis was performed in both traditional computers and new graphics processing unit architectures.

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Paper citation in several formats:
Fernández E., Ezzatti P., Nesmachnow S. and Besuievsky G. (2012). LOW-RANK RADIOSITY USING SPARSE MATRICES.In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012) ISBN 978-989-8565-02-0, pages 260-267. DOI: 10.5220/0003829402600267

@conference{grapp12,
author={Eduardo Fernández and Pablo Ezzatti and Sergio Nesmachnow and Gonzalo Besuievsky},
title={LOW-RANK RADIOSITY USING SPARSE MATRICES},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012)},
year={2012},
pages={260-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003829402600267},
isbn={978-989-8565-02-0},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2012)
TI - LOW-RANK RADIOSITY USING SPARSE MATRICES
SN - 978-989-8565-02-0
AU - Fernández E.
AU - Ezzatti P.
AU - Nesmachnow S.
AU - Besuievsky G.
PY - 2012
SP - 260
EP - 267
DO - 10.5220/0003829402600267

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