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Conference Paper Convenient Calibration Method for Unsynchronized Multi-camera Networks using a Small Reference Object
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Authors
Jae-Hean Kim, Bon-Ki Koo
Issue Date
2012-10
Citation
International Conference on Intelligent Robots and Systems (IROS) 2012, pp.438-444
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/IROS.2012.6385605
Abstract
A new convenient calibration algorithm is proposed for unsynchronized multi-camera networks having large capture volume. The proposed method gives a simple and accurate calibration mean using a small 3D reference object. Extrinsic and intrinsic parameters are recovered simultaneously by capturing the object placed arbitrarily in different locations in the capture volume. The proposed method first solves the problem linearly with factorizing projection matrices into the camera and the object pose parameters. Due to the multi-view constraints imposed on the factorization, the consistency of rigid transformations among cameras and objects can be acquired. These consistent estimation results can be further refined by a non-linear optimization process. The proposed algorithm is evaluated via simulated and real experiments to verify that it is more efficient than previous methods. © 2012 IEEE.
KSP Keywords
Calibration method, Camera network, Different locations, Multi-camera, Multi-view, Nonlinear optimization, Rigid transformations, calibration algorithm, consistent estimation, intrinsic parameters, object pose