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Authors: Christian Fuchs and Dietrich Paulus

Affiliation: University of Koblenz-Landau, Germany

Keyword(s): Virtual Views, Homography Deshadowing, Correct Perspective.

Related Ontology Subjects/Areas/Topics: Applications ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Health Engineering and Technology Applications ; Image Understanding ; Image-Based Modeling ; Pattern Recognition ; Sensors and Early Vision ; Signal Processing ; Software Engineering ; Virtual Environments

Abstract: The computation of virtual camera views is a common requirement in the development of computer vision appliances. We present a method for the perspectively correct computation of configurable virtual cameras using depth data gained from stereo correspondences. It avoids unnatural warping of 3-D objects as caused by homography-based approaches. Our method is tested using different stereo datasets.

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Paper citation in several formats:
Fuchs, C. and Paulus, D. (2017). Perspectively Correct Construction of Virtual Views. In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-222-6; ISSN 2184-4313, SciTePress, pages 626-632. DOI: 10.5220/0006233106260632

@conference{icpram17,
author={Christian Fuchs. and Dietrich Paulus.},
title={Perspectively Correct Construction of Virtual Views},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2017},
pages={626-632},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006233106260632},
isbn={978-989-758-222-6},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Perspectively Correct Construction of Virtual Views
SN - 978-989-758-222-6
IS - 2184-4313
AU - Fuchs, C.
AU - Paulus, D.
PY - 2017
SP - 626
EP - 632
DO - 10.5220/0006233106260632
PB - SciTePress