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 | |
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A contrario Clustering Point alignments Gestalt theory |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| http://hdl.handle.net/20.500.12008/5206 | |
| Acceso abierto |
| Sumario: | The ANSI C reviewed source code for this algorithm is available at the web page of this article. Compilation and usage instructions are included in the README.txt file of the archive. (http://demo.ipol.im/demo/126/archive/) |
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