AUTOMATIC AUGMENTED VIDEO CREATION FOR MARKERLESS ENVIRONMENTS

J. Sánchez, D. Borro

2007

Abstract

In this paper we present an algorithm to calculate the camera motion in a video sequence. Our method can search and track feature points along the video sequence, calibrate pinhole cameras and estimate the camera motion. In the first step, a 2D feature tracker finds and tracks points in the video. Using this information, outliers are detected using epipolar geometry robust estimation techniques. Finally, the geometry is refined using non linear optimization methods obtaining the camera’s intrinsic and extrinsic parameters. Our approach does not need to use markers and there are no geometrical constraints in the scene either. Thanks to the calculated camera pose it is possible to add virtual objects in the video in a realistic manner.

Paper Citation

in Harvard Style

Sánchez J. and Borro D. (2007). AUTOMATIC AUGMENTED VIDEO CREATION FOR MARKERLESS ENVIRONMENTS . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 519-522. DOI: 10.5220/0002047805190522

in Bibtex Style

@conference{visapp07,
author={J. Sánchez and D. Borro},
title={AUTOMATIC AUGMENTED VIDEO CREATION FOR MARKERLESS ENVIRONMENTS},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={519-522},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002047805190522},
isbn={978-972-8865-74-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - AUTOMATIC AUGMENTED VIDEO CREATION FOR MARKERLESS ENVIRONMENTS
SN - 978-972-8865-74-0
AU - Sánchez J.
AU - Borro D.
PY - 2007
SP - 519
EP - 522
DO - 10.5220/0002047805190522