Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
530745 | Pattern Recognition | 2008 | 15 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
I. Frosio, N.A. Borghese,