Maqola

Autonomous calibration algorithms for networks of cameras

Domenica BorraDepartment of Mathematics, Polytechnic of Turin, ItalyEnrico LovisariDepartment of Information Engineering, University of Padova, Padova, ItalyRuggero CarliDepartment of Information Engineering, University of Padova, Padova, ItalyFabio FagnaniDepartment of Mathematics, Polytechnic of Turin, ItalySandro ZampieriDepartment of Information Engineering, University of Padova, Padova, Italy

2012en

ABI

Annotatsiya

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.

Mavzular

Robotics and Sensor-Based Localization Advanced Vision and Imaging Distributed Control Multi-Agent Systems

Identifikatorlar

DOI: 10.1109/acc.2012.6314972

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