Synchronization and calibration of camera networks from silhouettes

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 sequenc...

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Bibliographic Details
Published inProceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004 Vol. 1; pp. 116 - 119 Vol.1
Main Authors Sinha, S.N., Pollefeys, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2004
Subjects
Calibration
Cameras
Character generation
Computational geometry
Computer networks
Image reconstruction
Robustness
Shape
Transmission line matrix methods
Video sequences
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Summary: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.
ISBN:0769521282
9780769521282
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2004.1334021