Título:
Good continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalness
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Autor:
Lezama, José
Randall, Gregory
Morel, Jean-Michel
Grompone von Gioi, Rafael
Randall, Gregory
Morel, Jean-Michel
Grompone von Gioi, Rafael
Tutor:
Tipo de documento:
Artículo
Editor:
Palabras clave:
Gestalt
Good continuation
Dots
Non-accidentalness
Local symmetry
Good continuation
Dots
Non-accidentalness
Local symmetry
Descriptores:
Procesamiento de Señales
Año de publicación:
2015
Contenido:
Resumen:
We propose a novel approach to the grouping of dot patterns by the good continuation law. Our model is based on local symmetries, and the non-accidentalness principle to determine perceptually relevant configurations. A quantitative measure of non-accidentalness is proposed, showing a good correlation with the visibility of a curve of dots. A robust, unsupervised and scale-invariant algorithm for the detection of good continuation of dots is derived. The results of the proposed method are illustrated on various datasets, including data from classic psychophysical studies. An online demonstration of the algorithm allows the reader to directly evaluate the method.
Descripción:
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Editorial:
Elsevier
EN:
Vision Research, v. 126, 2016
Financiadores:
Citación:
Lezama, J, Randall, G, Morel, J-M, Grompone von Gioi, R."Good continuation in dot patterns: A quantitative approach based on local symmetry and non-accidentalness". Vision Research, v. 126, 2016, pp 183-191, DOI https://doi.org/10.1016/j.visres.2015.09.004.
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Departamento académico:
Procesamiento de Señales
Grupo de investigación:
Tratamiento de Imágenes
Licencia:
Licencia Creative Commons Atribución (CC - By 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| LRMG15a.pdf | — | 1.75 MB | Adobe PDF |