Abstract
A new crossing detector is presented which also permits orientation estimation of the underlying structures. The method relies on well established tools such as the structure tensor, the double angle mapping and descriptors for second order variations. The performance of our joint crossing detector and multi-orientation estimator is relatively independent of the angular separation of the underlying unimodal structures.
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Faas, F.G.A., van Vliet, L.J. (2007). A Crossing Detector Based on the Structure Tensor. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2007. Lecture Notes in Computer Science, vol 4678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74607-2_19
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DOI: https://doi.org/10.1007/978-3-540-74607-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74606-5
Online ISBN: 978-3-540-74607-2
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