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Authors: Mirza Tahir Ahmed 1 ; Matthew N. Dailey 1 ; Jose Luis Landabaso 2 and Nicolas Herrero 2

Affiliations: 1 Asian Institute of Technology, Thailand ; 2 Telefonica Research, Spain

ISBN: 978-989-674-028-3

Keyword(s): 3D reconstruction, Key frame extraction, 3D video player, Geometrical robust information criterion (GRIC), 3D reconstruction degeneracy.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Retrieval of 3D Objects from Video Sequences ; Software Engineering

Abstract: Automatic reconstruction of 3D models from video sequences requires selection of appropriate video frames for performing the reconstruction. We introduce a complete method for key frame selection that automatically avoids degeneracies and is robust to inaccurate correspondences caused by motion blur. Our method combines selection criteria based on the number of frame-to-frame point correspondences, Torr’s geometrical robust information criterion (GRIC) scores for the frame-to-frame homography and fundamental matrix, and the point-to-epipolar line cost for the frame-to-frame point correspondence set. In a series of experiments with real and synthetic data sets, we show that our method achieves robust 3D reconstruction in the presence of noise and degenerate motion.

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Paper citation in several formats:
Tahir Ahmed M.; N. Dailey M.; Luis Landabaso J.; Herrero N. and (2010). ROBUST KEY FRAME EXTRACTION FOR 3D RECONSTRUCTION FROM VIDEO STREAMS.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 231-236. DOI: 10.5220/0002836902310236

@conference{visapp10,
author={Mirza {Tahir Ahmed} and Matthew {N. Dailey} and Jose {Luis Landabaso} and Nicolas Herrero},
title={ROBUST KEY FRAME EXTRACTION FOR 3D RECONSTRUCTION FROM VIDEO STREAMS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={231-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002836902310236},
isbn={978-989-674-028-3},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - ROBUST KEY FRAME EXTRACTION FOR 3D RECONSTRUCTION FROM VIDEO STREAMS
SN - 978-989-674-028-3
AU - Tahir Ahmed, M.
AU - N. Dailey, M.
AU - Luis Landabaso, J.
AU - Herrero, N.
PY - 2010
SP - 231
EP - 236
DO - 10.5220/0002836902310236

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