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 | Source: | 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. | Document URI: | http://hdl.handle.net/1942/6468 | Link to publication/dataset: | 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 |
Files in This Item:
File | Description | Size | Format | |
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170.pdf | Peer-reviewed author version | 246.04 kB | Adobe PDF | View/Open |
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