Abstract
This article presents a method to detect lines in fisheye and distorted perspective images. The detection is performed with subpixel accuracy. By detecting lines in the original images without warping the image with a reverse distortion, the detection accuracy can be noticeably improved. The combination of the edge detection and the line detection to a single step provides a more robust and more reliable detection of larger line segments.
Cite
CITATION STYLE
Wolters, D., & Koch, R. (2016). Precise and robust line detection for highly distorted and noisy images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9796 LNCS, pp. 3–13). Springer Verlag. https://doi.org/10.1007/978-3-319-45886-1_1
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