Synchronization and calibration of a camera network for 3D event reconstruction from live video

Author

Sinha, Sudipta N. ; Pollefeys, Marc

Author_Institution

Dept. of Comput. Sci., North Carolina Univ., Chapel Hill, NC, USA

Volume

2

fYear

2005

fDate

20-25 June 2005

Abstract

We present an approach for automatic reconstruction of a dynamic event using multiple video cameras recording from different viewpoints. Our approach recovers all the necessary information by analyzing the motion of the silhouettes in the multiple video streams. The first step consists of computing the calibration and synchronization for pairs of cameras. We compute the temporal offset and epipolar geometry using an efficient RANSAC-based algorithm to search for the epipoles as well as for robustness. In the next stage the calibration and synchronization for the complete camera network is recovered and then refined through maximum likelihood estimation. Finally, a visual hull algorithm is used to the recover the dynamic shape of the observed object.

Keywords

calibration; image reconstruction; maximum likelihood estimation; synchronisation; video cameras; video signal processing; video streaming; 3D event reconstruction; RANSAC-based algorithm; automatic reconstruction; calibration; camera network; epipolar geometry; maximum likelihood estimation; synchronization; video cameras recording; visual hull algorithm; Calibration; Cameras; Computational geometry; Information analysis; Maximum likelihood estimation; Motion analysis; Robustness; Shape; Streaming media; Video recording;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on

ISSN

1063-6919

Print_ISBN

0-7695-2372-2

Type

conf

DOI

10.1109/CVPR.2005.338

Filename

1467595