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Published Articles >> Table of Contents >> Abstract
17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
pp. 116-119
Synchronization and Calibration of Camera Networks from Silhouettes
Sudipta N. Sinha, University of North Carolina at Chapel Hill
Marc Pollefeys, University of North Carolina at Chapel Hill
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334021
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| Abstract |
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We propose an automatic approach to synchronize a network of uncalibrated and unsynchronized video cameras, and recover the complete calibration of all these cameras. In this paper, we extend recent work on computing the epipolar geometry from dynamic silhouettes, to deal with unsynchronized sequences and find the temporal offset between them. This is used to compute the fundamental matrices and the temporal offsets between many view-pairs in the network. Knowing the time-shifts between enough view-pairs allows us to robustly synchronize the whole network. The calibration of all the cameras is recovered from these fundamental matrices. The dynamic shape of the object can then be recovered using a visual-hull algorithm. Our method is especially useful for multi-camera shape-from-silhouette systems, as visual hulls can now be reconstructed without the need for a specific calibration session.
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Citation:
Sudipta N. Sinha, Marc Pollefeys,
"Synchronization and Calibration of Camera Networks from Silhouettes,"
icpr,
pp. 116-119,
17th International Conference on Pattern Recognition (ICPR'04) - Volume 1,
2004
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