An unsupervised algorithm for detecting good continuation in Dot Patterns
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-...
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| Main Author: | |
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| Other Authors: | , , |
| Format: | article |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12008/8904 |
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