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Proceedings Paper

Fast computation of local correlation coefficients on graphics processing units
Author(s): Georgios Papamakarios; Georgios Rizos; Nikos P. Pitsianis; Xiaobai Sun
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Paper Abstract

This paper presents an acceleration method, using both algorithmic and architectural means, for fast calculation of local correlation coefficients, which is a basic image-based information processing step for template or pattern matching, image registration, motion or change detection and estimation, compensation of changes, or compression of representations, among other information processing objectives. For real-time applications, the complexity in arithmetic operations as well as in programming and memory access latency had been a divisive issue between the so-called correction-based methods and the Fourier domain methods. In the presented method, the complexity in calculating local correlation coefficients is reduced via equivalent reformulation that leads to efficient array operations or enables the use of multi-dimensional fast Fourier transforms, without losing or sacrificing local and non-linear changes or characteristics.

Paper Details

Date Published: 2 September 2009
PDF: 8 pages
Proc. SPIE 7444, Mathematics for Signal and Information Processing, 744412 (2 September 2009); doi: 10.1117/12.834180
Show Author Affiliations
Georgios Papamakarios, Aristotle Univ. of Thessaloniki (Greece)
Georgios Rizos, Aristotle Univ. of Thessaloniki (Greece)
Nikos P. Pitsianis, Aristotle Univ. of Thessaloniki (Greece)
Duke Univ. (United States)
Xiaobai Sun, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 7444:
Mathematics for Signal and Information Processing
Franklin T. Luk; Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)

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