Abstract
This paper presents the design and evaluation of the stream processing implementation of the Integral Image algorithm. The Integral Image is a key component of many image processing algorithms in particular the Haar-like feature based systems. Modern GPUs provide a large number of processors with a peak floating point performance that is significantly higher than current general CPUs. This results in significant performance improvement when the Integral Image calculation for large input images is offloaded onto the GPU of the system.
Original language | English |
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Title of host publication | Proceedings - 9th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2008 |
Editors | Zhiyi Huang, Zhiwei Xu, Nathan Rountree, Laurent Lefevre, Hong Shen, John Hine, Yi Pan |
Publisher | IEEE |
Pages | 405-412 |
Number of pages | 8 |
ISBN (Print) | 9780769534435 |
DOIs | |
Publication status | Published - 2008 |
Externally published | Yes |
Event | 9th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2008 - Dunedin, Otago, New Zealand Duration: 1 Dec 2008 → 4 Dec 2008 Conference number: 9th |
Publication series
Name | Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings |
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Conference
Conference | 9th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2008 |
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Abbreviated title | PDCAT |
Country/Territory | New Zealand |
City | Dunedin, Otago |
Period | 1/12/08 → 4/12/08 |