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Precise and Robust Line Detection for Highly Distorted and Noisy Images
[chapter]
2016
Lecture Notes in Computer Science
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.
doi:10.1007/978-3-319-45886-1_1
fatcat:x64uddetkbcatb55ddblk3qpr4