An unsupervised point alignment detection algorithm
Resumen:
In this article we present an algorithm for the detection of perceptually relevant alignments of points in 2D point patterns. Our algorithm is based on the a contrario detection theory. It requires no parameter tuning and has only one critical parameter, which controls the number of false detections.
| 2015 | |
| Procesamiento de Señales | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/42663 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Compartir Igual (CC - By-NC-SA 4.0) |
| Sumario: | In this article we present an algorithm for the detection of perceptually relevant alignments of points in 2D point patterns. Our algorithm is based on the a contrario detection theory. It requires no parameter tuning and has only one critical parameter, which controls the number of false detections. |
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