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Communication Dans Un Congrès Année : 2015

Visual Localisation from Structureless Rigid Models

Guido Manfredi
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Michel Devy
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Daniel Sidobre

Résumé

Visual rigid localisation algorithms can be described by their model/sensor input couple, where model and input can either be 2-D or 3-D sets of points. While Perspective-N-Point (PnP) solvers directly solve the 3-D/2-D case, to the best of our knowledge there is no locali-sation method to directly solve the 2-D/3-D case. This work proposes to handle the 2-D/3-D case by expressing it as two successive PnP problems which can be dealt with using classical solvers. Results suggest the overall method has comparable or better precision and robustness than state of the art PnP solvers. The approach is demonstrated on an object localisation application.
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Dates et versions

hal-01355096 , version 1 (22-08-2016)

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Citer

Guido Manfredi, Michel Devy, Daniel Sidobre. Visual Localisation from Structureless Rigid Models. 16th International Conference on Advanced Concepts for Intelligent Vision Systems ACIVS 2015, Oct 2015, Catania, Italy. pp.510-520, ⟨10.1007/978-3-319-25903-1_44⟩. ⟨hal-01355096⟩
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