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18 January 2010 Fast correspondence of unrectified stereo images using genetic algorithm and spline representation
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Proceedings Volume 7539, Intelligent Robots and Computer Vision XXVII: Algorithms and Techniques; 75390W (2010) https://doi.org/10.1117/12.841136
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
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.
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Beau Tippetts, Dah Jye Lee, and James Archibald "Fast correspondence of unrectified stereo images using genetic algorithm and spline representation", Proc. SPIE 7539, Intelligent Robots and Computer Vision XXVII: Algorithms and Techniques, 75390W (18 January 2010); https://doi.org/10.1117/12.841136
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