Paper
18 January 2010 Fast correspondence of unrectified stereo images using genetic algorithm and spline representation
Beau Tippetts, Dah Jye Lee, James Archibald
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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Cited by 2 scholarly publications.
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KEYWORDS
Genetic algorithms

Detection and tracking algorithms

Visual process modeling

Genetics

Computing systems

Stereo vision systems

Cameras

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