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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12008/41812 How to cite
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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