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.
Real-time accurate circle fitting with occlusions / I. Frosio, N.A. Borghese. - In: PATTERN RECOGNITION. - ISSN 0031-3203. - 41:3(2008 Mar), pp. 1041-1055. [10.1016/j.patcog.2007.08.011]
Real-time accurate circle fitting with occlusions
I. FrosioPrimo
;N.A. BorgheseUltimo
2008
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.
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