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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/6468

Title: A data distribution strategy for parallel point-based rendering
Authors: HUBO, Erik
BEKAERT, Philippe
Issue Date: 2005
Citation: Proceedings of the International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG2005). p. 1-8.
Abstract: During the last couple of years, point sets have emerged as a new standard for the representation of largely detailed models. This is partly due to the fact that range scanning devices are becoming a fast and economical way to capture dense point clouds. Traditional rendering systems are impractical when a single polygonal primitive contributes less than a pixel during rendering. We present a data distribution strategy for parallel pointbased rendering, using a cluster of PCs as target platform. We describe a data-structure and a system architecture, which allows for decoupling the point-data from the computational work. This strategy enables both a balanced workload as well as no full data replication on each node. We exploit frame-to-frame coherence to make our system scalable. The system renders high-resolution images from high complex data sets at interactive frame rates. To our knowledge parallel point-based rendering has not been investigated in the past. Our results indicate the feasibility of sort-first parallelization applied to point-based rendering.
URI: http://hdl.handle.net/1942/6468
Link to publication: http://wscg.zcu.cz/wscg2005/Papers_2005/Full/E47-full.pdf
ISBN: 80-903100-7-9
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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