Real-time accurate circle fitting with occlusions

Authors:
I. Frosio;N. A. Borghese
Affiliations:
Computer Science Department, University of Milano, Via Comelico 39/41, 20135 Milano, Italy;Computer Science Department, University of Milano, Via Comelico 39/41, 20135 Milano, Italy
Venue:
Pattern Recognition
Year:
2008

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Abstract

Accurate location of circles inside images is a common problem in many scientific fields. Traditional algorithms, based on fitting a parameterized model, cannot accurately determine the circle in presence of partial occlusions. A novel problem formulation, based on maximum likelihood, allows estimating circles in real-time with sub-pixel accuracy also when occlusions are present.