An unsupervised algorithm for detecting good continuation in Dot Patterns
- Autor(es):
- Lezama, José ; Randall, Gregory ; Morel, Jean-Michel ; Grompone von Gioi, Rafael
- Tipo:
- Artículo
- Versión:
- Publicado
- Resumen:
-
In this article we describe an algorithm for the automatic detection of perceptually relevant configurations of `good continuation' of points in 2D point patterns. The algorithm is based on the `a contrario' detection theory and on the assumption that `good continuation' of points are locally quasi-symmetric. The algorithm has only one critical parameter, which controls the number of false detections.
- Año:
- 2017
- Idioma:
- Inglés
- Temas:
- Good continuation
Gestalt
Dots
Non-accidentalness
Local symmetry
- Institución:
- Universidad de la República
- Repositorio:
- COLIBRI
- Enlace(s):
- http://hdl.handle.net/20.500.12008/8904
- Nivel de acceso:
- Acceso abierto
