MULTIPLE VIEW GEOMETRY FOR MIXED DIMENSIONAL CAMERAS

Kazuki Kozuka, Jun Sato

2008

Abstract

In this paper, we analyze the multiple view geometry under the case where various dimensional imaging sensors are used together. Although the multiple view geometry has been studied extensively and extended for more general situations, all the existing multiple view geometries assume that the scene is observed by the same dimensional imaging sensors, such as 2D cameras. In this paper, we show that there exist multilinear constraints on image coordinates, even if the dimensions of camera images are different each other. The new multilinear constraints can be used for describing the geometric relationships between 1D line sensors, 2D cameras, 3D range sensors etc., and for calibrating mixed sensor systems.

Paper Citation

in Harvard Style

Kozuka K. and Sato J. (2008). MULTIPLE VIEW GEOMETRY FOR MIXED DIMENSIONAL CAMERAS . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 5-12. DOI: 10.5220/0001072500050012

in Bibtex Style

@conference{visapp08,
author={Kazuki Kozuka and Jun Sato},
title={MULTIPLE VIEW GEOMETRY FOR MIXED DIMENSIONAL CAMERAS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001072500050012},
isbn={978-989-8111-21-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - MULTIPLE VIEW GEOMETRY FOR MIXED DIMENSIONAL CAMERAS
SN - 978-989-8111-21-0
AU - Kozuka K.
AU - Sato J.
PY - 2008
SP - 5
EP - 12
DO - 10.5220/0001072500050012