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Proceedings Paper

Fast correspondence of unrectified stereo images using genetic algorithm and spline representation
Author(s): Beau Tippetts; Dah Jye Lee; James Archibald
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Paper Abstract

Spline representations have been successfully used with a genetic algorithm to determine a disparity map for stereo image pairs. This paper describes work to modify the genetic spline algorithm to use a version of the genetic algorithm with small populations and few generations, previously referred to as "Tiny GAs", to allow algorithm implementations to achieve real-time performance. The algorithm was also targeted at unrectified stereo image pairs to reduce preprocessing making it more suitable for real-time performance. To ensure disparity map quality is preserved, the two dimensional nature of images is maintained to leverage persistent information instead of representing the images as 1-D signals as suggested in the orignal genetic spline algorithm. Experimental results are given of this modified algorithm using unrectified images.

Paper Details

Date Published: 18 January 2010
PDF: 8 pages
Proc. SPIE 7539, Intelligent Robots and Computer Vision XXVII: Algorithms and Techniques, 75390W (18 January 2010); doi: 10.1117/12.841136
Show Author Affiliations
Beau Tippetts, Brigham Young Univ. (United States)
Dah Jye Lee, Brigham Young Univ. (United States)
James Archibald, Brigham Young Univ. (United States)

Published in SPIE Proceedings Vol. 7539:
Intelligent Robots and Computer Vision XXVII: Algorithms and Techniques
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

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