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The Computer Journal Advance Access first published online on July 4, 2009
This version published online on July 11, 2009
The Computer Journal, doi:10.1093/comjnl/bxp064
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© The Author 2009. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Hierarchical Radiosity for Multiresolution Systems Based on Normal Tests

Emilio J. Padrón1,*, Margarita Amor1, Montserrat Bóo2 and Ramón Doallo1

1 Department of Electronics and Systems, University of A Coruña, E–15071 A Coruña, Spain
2 Department of Electronic and Computer Engineering, University of Santiago de Compostela, E-15782 Santiago de Compostela, Spain

* Corresponding author: emilioj{at}udc.es

Received 26 May 2008; revised 13 March 2009

The hierarchical radiosity algorithm provides high-quality illumination and the view-independent results obtained can be re-employed for different camera positions. On the other hand, the utilization of multiresolution models is a common solution for the real-time rendering of complex scenes. In this case, the level of detail of each object depends on the specific camera position. Unfortunately, global illumination computations may present an important performance loss in this context. In this paper we present a new solution for hierarchical radiosity for multiresolution systems. Our proposal is based on the application of an enriched hierarchical radiosity algorithm to an input scene with low-resolution objects (represented by coarse meshes) and the efficient data management of the resulting values. The representation of the information we use permits the application of the radiosity values obtained for the coarse version of an object to finer resolution versions of that object. Results of our implementation show that our algorithm produces high-quality images with an important reduction in computational costs.

Key Words: global illumination • hierarchical radiosity • surface subdivision • multiresolution systems

Handling editor: Suchi Bhandarkar


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