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Robust Circle Detection

Bart Lamiroy 1, * Olivier Gaucher 1 Laurent Fritz 1
* Corresponding author
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we present a method of robustly detect circles in a line drawing image. The method is fast, robust and very reliable, and is capable of assessing the quality of its detection. It is based on Random Sample Consensus minimization, and uses techniques that are inspired from object tracking in image sequences.
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https://hal.inria.fr/inria-00184490
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Submitted on : Wednesday, October 31, 2007 - 10:29:09 AM
Last modification on : Thursday, January 11, 2018 - 6:19:59 AM
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Bart Lamiroy, Olivier Gaucher, Laurent Fritz. Robust Circle Detection. 9th International Conference on Document Analysis and Recognition - ICDAR'07, IAPR, Sep 2007, Curitiba, Brazil. pp.526-530, ⟨10.1109/ICDAR.2007.4378765⟩. ⟨inria-00184490⟩

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