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Authors: Kazuki Kozuka and Jun Sato

Affiliation: Nagoya Institute of Technology, Japan

ISBN: 978-989-8111-21-0

Keyword(s): Multiple view geometry, stereo vision, structure from motion, non-homogeneous cameras.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Formation and Preprocessing ; Motion, Tracking and Stereo Vision ; Multimodal and Multi-Sensor Models of Image Formation ; Multi-View Geometry ; Stereo Vision and Structure from Motion

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.

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Paper citation in several formats:
Kozuka K.; Sato J. and (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

@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},
}

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

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