Abstract
This paper describes a new approach for detection of curvilinear regions. These features detection can be useful for any matching based algorithm such as stereoscopic vision. Our detector is based on curvilinear structure model, defined observing the real world. Then, we propose a multi-scale search algorithm of curvilinear regions and we report some preliminary results.
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Lemaitre, C., Miteran, J., Matas, J. (2007). Definition of a Model-Based Detector of Curvilinear Regions. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_85
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DOI: https://doi.org/10.1007/978-3-540-74272-2_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74271-5
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