A Method of Detecting End-To-End Curves of Limited Curvature
December 04, 2019 Β· Declared Dead Β· π International Conference on Machine Vision
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Authors
Ekaterina Panfilova, Mikhail Aliev, Irina Kunina, Vasiliy Postnikov, Dmitry Nikolaev
arXiv ID
1912.01884
Category
cs.CV: Computer Vision
Citations
1
Venue
International Conference on Machine Vision
Last Checked
4 months ago
Abstract
In this paper we consider a method for detecting end-to-end curves of limited curvature like the k-link polylines with bending angle between adjacent segments in a given range. The approximation accuracy is achieved by maximization of the quality function in the image matrix. The method is based on a dynamic programming scheme constructed over Fast Hough Transform calculation results for image bands. The proposed method asymptotic complexity is $O(h \cdot (w+ \frac{h}{k}) \cdot log(\frac{h}{k}))$, where $h$ and $w$ are the image size, and $k$ is the approximating polyline links number, which is an analogue of the complexity of the fast Fourier transform or the fast Hough transform. We also show the results of the proposed method on synthetic and real data.
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