This paper addresses the problem of multiple models fitting in the general context where the sought structures can be described by a mixture of heterogeneous parametric models drawn from different classes. To this end, we conceive a multi-model selection framework that extend T-linkage to cope with different nested class of models. Our method, called MCT, compares favourably with the state-of-the-art on publicly available data-sets for various fitting problems: Lines and conics, homographies and fundamental matrices, planes and cylinders.
Fitting multiple heterogeneous models by multi-class cascaded t-linkage
Magri L.;Fusiello A.
2019-01-01
Abstract
This paper addresses the problem of multiple models fitting in the general context where the sought structures can be described by a mixture of heterogeneous parametric models drawn from different classes. To this end, we conceive a multi-model selection framework that extend T-linkage to cope with different nested class of models. Our method, called MCT, compares favourably with the state-of-the-art on publicly available data-sets for various fitting problems: Lines and conics, homographies and fundamental matrices, planes and cylinders.File in questo prodotto:
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