Título:
A contrario detection of good continuation of points
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Autor:
Morel, Jean-Michel
Randall, Gregory
Grompone von Gioi, Rafael
Lezama, José
Randall, Gregory
Grompone von Gioi, Rafael
Lezama, José
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Tipo de documento:
Ponencia
Editor:
Palabras clave:
Good continuation detection
Points
Curves
Gestalt
Points
Curves
Gestalt
Descriptores:
Procesamiento de Señales
Año de publicación:
2014
Contenido:
Resumen:
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.
Descripción:
Trabajo presentado a International Conference on Image Processing (ICIP), Paris, France, 27-30 oct., 2014
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Citación:
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.
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Departamento académico:
Procesamiento de Señales
Grupo de investigación:
Tratamiento de Imágenes
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| LGRM14.pdf | — | 434.06 KB | Adobe PDF |
