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.


    Access

    Download


    Export, share and cite



    Title :

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


    Contributors:
    Sinha, S.N. (author) / Pollefeys, M. (author)


    Publication date :

    2005-01-01


    Size :

    106984 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Camera Network Calibration and Synchronization from Silhouettes in Archived Video

    Sinha, S. N. / Pollefeys, M. | British Library Online Contents | 2010


    EventAlign: LiDAR-Event Camera Calibration with Event Alignment Loss

    Dong, Pengfei / Hai, Renwei / Shen, Yanqing et al. | IEEE | 2024


    Vehicle camera system having live video indication

    SCHONDORF STEVEN YELLIN / GHNEIM MAHER | European Patent Office | 2018

    Free access

    Vehicle Camera System Having Live Video Indication

    SCHONDORF STEVEN YELLIN / GHNEIM MAHER | European Patent Office | 2016

    Free access

    Camera Calibration and Direct Reconstruction from Plane with Brackets

    Wu, Y. / Hu, Z. | British Library Online Contents | 2006