International Journal of Computer Vision
Carved Visual Hulls for Image-Based Modeling
International Journal of Computer Vision
Compensated Visual Hull with GPU-Based Optimization
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Camera Network Calibration and Synchronization from Silhouettes in Archived Video
International Journal of Computer Vision
Automatic mashup generation from multiple-camera concert recordings
Proceedings of the international conference on Multimedia
Carved visual hulls for image-based modeling
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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We present an approach for automatic reconstruction of a dynamic event using multiple video cameras recording from different viewpoints. Those cameras do not need to be calibrated or even synchronized. 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. For unsynchronized video streams silhouettes are interpolated to deal with subframe temporal offsets. We demonstrate the validity of our approach by obtaining the calibration, synchronization and 3D reconstruction of a moving person from a set of 4 minute videos recorded from 4 widely separated video cameras.