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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Lemaître, C., Miteran, J., & Matas, J. (2007). Definition of a model-based detector of curvilinear regions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4673 LNCS, pp. 686–693). Springer Verlag. https://doi.org/10.1007/978-3-540-74272-2_85
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