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ECCV
2008
Springer

Robust Multiple Structures Estimation with J-Linkage

15 years 1 months ago
Robust Multiple Structures Estimation with J-Linkage
This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual data representation. Each point is represented with the characteristic function of the set of random models that fit the point. A tailored agglomerative clustering, called J-linkage, is used to group points belonging to the same model. The method does not require prior specification of the number of models, nor it necessitate parameters tuning. Experimental results demonstrate the superior performances of the algorithm.
Roberto Toldo, Andrea Fusiello
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 2008
Where ECCV
Authors Roberto Toldo, Andrea Fusiello
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