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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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| التنسيق: | article |
| اللغة: | الإنجليزية |
| منشور في: |
2017
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/20.500.12008/8904 |
| الوسوم: |
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مواد مشابهة: An unsupervised algorithm for detecting good continuation in Dot Patterns
- Good continuation in dot patterns : A quantitative approach based on local symmetry and non-accidentalness
- An unsupervised point alignment detection algorithm
- General hierarchy of charges at null infinity via the Todd polynomials
- Online change point detection for weighted and directed random dot product graphs
- A contrario 3D point alignment detection algorithm
- A model of natural image edge co-occurrence in the rototranslation group