DETECTING COPLANAR FEATURE POINTS IN HANDHELD IMAGE SEQUENCES

Olaf Kähler, Joachim Denzler

Abstract

3D reconstruction applications can benefit greatly from knowledge about coplanar feature points. Extracting this knowledge from images alone is a difficult task, however. The typical approach to this problem is to search for homographies in a set of point correspondences using the RANSAC algorithm. In this work we focus on two open issues with a blind random search. First, we enforce the detected planes to represent physically present scene planes. Second, we propose methods to identify cases, in which a homography does not imply coplanarity of feature points. Experiments are performed to show applicability of the presented plane detection algorithms to handheld image sequences.

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Paper Citation


in Harvard Style

Kähler O. and Denzler J. (2007). DETECTING COPLANAR FEATURE POINTS IN HANDHELD IMAGE SEQUENCES . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 447-452. DOI: 10.5220/0002054304470452


in Bibtex Style

@conference{visapp07,
author={Olaf Kähler and Joachim Denzler},
title={DETECTING COPLANAR FEATURE POINTS IN HANDHELD IMAGE SEQUENCES},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={447-452},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002054304470452},
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 - DETECTING COPLANAR FEATURE POINTS IN HANDHELD IMAGE SEQUENCES
SN - 978-972-8865-74-0
AU - Kähler O.
AU - Denzler J.
PY - 2007
SP - 447
EP - 452
DO - 10.5220/0002054304470452