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Title: | A contrario detection of good continuation of points |
Authors: | Morel, Jean-Michel Randall, Gregory Grompone von Gioi, Rafael Lezama, José |
Type: | Ponencia |
Keywords: | Good continuation detection, Points, Curves, Gestalt |
Descriptors: | Procesamiento de Señales |
Issue Date: | 2014 |
Abstract: | We will consider the problem of detecting configurations of points regularly spaced and lying on a smooth curve. This corresponds to the notion of good continuation introduced in the Gestalt theory. We present a robust algorithm for clustering points along such curves, whilst at the same time discarding noisy samples. Based on the a contrario methodology, the detector builds upon a simple, symmetric primitive for a triplet of points, and finds statistically meaningful chains of such triplets. An efficient implementation is proposed using the Floyd-Warshall algorithm. Experiments on synthetic and real data show that the method is able to identify the perceptually relevant configuration of points in good continuation. |
Description: | Trabajo presentado a International Conference on Image Processing (ICIP), Paris, France, 27-30 oct., 2014 |
Citation: | Lezama, J, Grompone von Gioi, R, Randall, G, Morel, J.M. "A contrario detection of good continuation of points" Publicado en: Proceedings of the International Conference on Image Processing (ICIP), Paris, France, 27-30 oct., 2014, pp. 4757-4761, doi: 10.1109/ICIP.2014.7025964. |
Academic department: | Procesamiento de Señales |
Investigation group: | Tratamiento de Imágenes |
License: | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
Appears in Collections: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
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LGRM14.pdf | 434,06 kB | Adobe PDF | View/Open |
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