Precise and Robust Line Detection for Highly Distorted and Noisy Images.

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Koch, Reinhard and Wolters, Dominik (2016) Precise and Robust Line Detection for Highly Distorted and Noisy Images. [Paper] In: Proceedings of the 38th German Conference on Pattern Recognition (GCPR 2016). , 12.-15.12.2016, Hannover ; pp. 3-13 .

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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.

Document Type: Conference or Workshop Item (Paper)
Research affiliation: Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
Kiel University
Open Access Journal?: No
Date Deposited: 18 Dec 2017 10:44
Last Modified: 23 Sep 2019 17:54
URI: https://oceanrep.geomar.de/id/eprint/40718

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