We deal with the important applicative problem of distributed cameras calibration. We model a network of N cameras as an undirected graph in which communicating cameras can measure their relative orientation in a noisy way. These measures can be used in order to minimize a suitable cost function. The shape of this cost function depends on a vector of integers K. We propose two algorithms which in a distributive way estimate such K, comparing advantages and disadvantages of both. Simulations are run on a grid network to prove effectiveness of the algorithms.

Autonomous Calibration Algorithms for Networks of Cameras / Borra, Domenica; Lovisari, Enrico; Carli, R.; Fagnani, Fabio; Zampieri, S.. - ELETTRONICO. - (2012), pp. 5126-5131. ((Intervento presentato al convegno 2012 American Control Conference tenutosi a Fairmont Queen Elizabeth, Montréal, Canada nel June 27-June 29, 2012.

Autonomous Calibration Algorithms for Networks of Cameras

BORRA, DOMENICA;LOVISARI, ENRICO;FAGNANI, FABIO;
2012

Abstract

We deal with the important applicative problem of distributed cameras calibration. We model a network of N cameras as an undirected graph in which communicating cameras can measure their relative orientation in a noisy way. These measures can be used in order to minimize a suitable cost function. The shape of this cost function depends on a vector of integers K. We propose two algorithms which in a distributive way estimate such K, comparing advantages and disadvantages of both. Simulations are run on a grid network to prove effectiveness of the algorithms.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2522435
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