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Authors: Luis Ferraz 1 and Xavier Binefa 2

Affiliations: 1 Universitat Autonoma de Barcelona, Spain ; 2 Universitat Pompeu Fabra, Spain

ISBN: 978-989-8111-69-2

Keyword(s): Interest points extraction, Gaussian curvature, Scale space.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Early Vision and Image Representation ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control ; Surface Geometry and Shape

Abstract: In this paper we present a novel scale invariant interest point detector of blobs which incorporates the idea of blob movement along the scales. This trajectory of the blobs through the scale space is shown to be valuable information in order to estimate the most stable locations and scales of the interest points. Our detector evaluates interest points in terms of their self trajectory along the scales and its evolution avoiding redundant detections. Moreover, in this paper we present a differential geometry view to understand how interest points can be detected. We propose analyze the gaussian curvature to classify image regions as elliptical (blobs) or hyperbolic (corners or saddles). Our interest point detector has been compared with Harris-Laplace and Hessian-Laplace detectors on infrared (IR) images, outperforming their results in terms of the number and precision of interest points detected.

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Paper citation in several formats:
Ferraz L.; Binefa X. and (2009). A NEW NON-REDUNDANT SCALE INVARIANT INTEREST POINT DETECTOR.In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 277-280. DOI: 10.5220/0001802702770280

@conference{visapp09,
author={Luis Ferraz and Xavier Binefa},
title={A NEW NON-REDUNDANT SCALE INVARIANT INTEREST POINT DETECTOR},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={277-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001802702770280},
isbn={978-989-8111-69-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - A NEW NON-REDUNDANT SCALE INVARIANT INTEREST POINT DETECTOR
SN - 978-989-8111-69-2
AU - Ferraz, L.
AU - Binefa, X.
PY - 2009
SP - 277
EP - 280
DO - 10.5220/0001802702770280

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