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.
2019
978-1-7281-3293-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1174753
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