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Proceedings Paper

Beyond pixels: applying the GPU to accelerate computer vision
Author(s): James Fung
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Paper Abstract

As a massively parallel processor, the GPU is well-suited for performing 'per-pixel' operations in image processing and computer vision. New developments in hardware, software, and algorithm mappings now allow entire vision algorithms to be performed exclusively on GPU. In this paper we present the GPU mapping of a natural image feature processing pipeline used in an image stitching application. We examine how to utilize hardware features on the GPU for efficient processing to demonstrate how GPU programming now goes beyond per-pixel mappings, and is providing speedups in image feature processing, and matching.

Paper Details

Date Published: 18 January 2010
PDF: 8 pages
Proc. SPIE 7543, Visual Information Processing and Communication, 754306 (18 January 2010); doi: 10.1117/12.844078
Show Author Affiliations
James Fung, NVIDIA Corp. (United States)


Published in SPIE Proceedings Vol. 7543:
Visual Information Processing and Communication
Amir Said; Onur G. Guleryuz, Editor(s)

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