This paper deals with the problem of estimating camera motion in the context of structure-from-motion. We describe a pipeline that consumes relative orientations and produces absolute orientations (i.e. camera position and attitude in an absolute reference frame). This pipeline exploits the concept of 'group synchronization' in most of its stages, all of which entail direct solutions such as eigenvalue decompositions or linear least squares. A comprehensive introduction to the group synchronization problem is provided, and the proposed pipeline is evaluated on standard real datasets.

Camera Motion from Group Synchronization / Arrigoni, Federica; Fusiello, Andrea; Rossi, Beatrice. - (2016), pp. 546-555. (Intervento presentato al convegno 3DV 2016 tenutosi a Stanford, CA nel 25th-28th October 2016) [10.1109/3DV.2016.64].

Camera Motion from Group Synchronization

Arrigoni, Federica;
2016-01-01

Abstract

This paper deals with the problem of estimating camera motion in the context of structure-from-motion. We describe a pipeline that consumes relative orientations and produces absolute orientations (i.e. camera position and attitude in an absolute reference frame). This pipeline exploits the concept of 'group synchronization' in most of its stages, all of which entail direct solutions such as eigenvalue decompositions or linear least squares. A comprehensive introduction to the group synchronization problem is provided, and the proposed pipeline is evaluated on standard real datasets.
2016
Proceedings 2016 International Conference on 3D Vision: 3DV 2016
Piscataway, NJ
IEEE
978-1-5090-5407-7
Arrigoni, Federica; Fusiello, Andrea; Rossi, Beatrice
Camera Motion from Group Synchronization / Arrigoni, Federica; Fusiello, Andrea; Rossi, Beatrice. - (2016), pp. 546-555. (Intervento presentato al convegno 3DV 2016 tenutosi a Stanford, CA nel 25th-28th October 2016) [10.1109/3DV.2016.64].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/272052
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