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Authors: Nils Hering ; Frank Schmitt and Lutz Priese

Affiliation: Institut for Computervisualistics, University of Koblenz, Germany

ISBN: 978-989-8111-69-2

Keyword(s): SIFT features, Self-similar.

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

Abstract: In this paper we present a new method to group self-similar SIFT features in images. The aim is to automatically build groups of all SIFT features with the same semantics in an image. To achieve this a new distance between SIFT feature vectors taking into account their orientation and scale is introduced. The methods are presented in the context of recognition of buildings. A first evaluation shows promising results.

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Paper citation in several formats:
Hering N.; Schmitt F.; Priese L. and (2009). IMAGE UNDERSTANDING USING SELF-SIMILAR SIFT FEATURES.In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 114-119. DOI: 10.5220/0001753501140119

@conference{visapp09,
author={Nils Hering and Frank Schmitt and Lutz Priese},
title={IMAGE UNDERSTANDING USING SELF-SIMILAR SIFT FEATURES},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={114-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001753501140119},
isbn={978-989-8111-69-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - IMAGE UNDERSTANDING USING SELF-SIMILAR SIFT FEATURES
SN - 978-989-8111-69-2
AU - Hering, N.
AU - Schmitt, F.
AU - Priese, L.
PY - 2009
SP - 114
EP - 119
DO - 10.5220/0001753501140119

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