LOW-RANK RADIOSITY USING SPARSE MATRICES

Eduardo Fernández, Pablo Ezzatti, Sergio Nesmachnow, Gonzalo Besuievsky

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 Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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