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http://dx.doi.org/10.5302/J.ICROS.2010.16.4.339

Scale and Rotation Robust Genetic Programming-Based Corner Detectors  

Seo, Ki-Sung (서경대학교 전자공학과)
Kim, Young-Kyun (서경대학교 전자공학과)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.16, no.4, 2010 , pp. 339-345 More about this Journal
Abstract
This paper introduces GP(Genetic Programming) based robust corner detectors for scaled and rotated images. Various empirical algorithms have been studied to improve computational speed and accuracy including approaches, such as the Harris and SUSAN, FAST corner detectors. These techniques are highly efficient for well-defined corners, but are limited to corner-like edges which are often generated in rotated images. It is very difficult to detect correctly edges which have characteristics similar to corners. In this paper, we have focused the above challenging problem and proposed Genetic Programming-based automated generation of corner detectors which is robust to scaled and rotated images. The proposed method is compared to the existing corner detectors on test images and shows superior results.
Keywords
corner detector; genetic programming; automated generation; scale and rotation robust;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By SCOPUS : 2
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