IMAGE UNDERSTANDING USING SELF-SIMILAR SIFT FEATURES

Nils Hering; Frank Schmitt; Lutz Priese

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Paper

IMAGE UNDERSTANDING USING SELF-SIMILAR SIFT FEATURES

Topics: Feature Extraction; Segmentation and Grouping

In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 114-119, 2009 , Lisboa, Portugal

Authors: Nils Hering ; Frank Schmitt and Lutz Priese

Affiliation: Institut for Computervisualistics, University of Koblenz, Germany

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. and Priese, L. (2009). IMAGE UNDERSTANDING USING SELF-SIMILAR SIFT FEATURES. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, 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 (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={114-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001753501140119},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - IMAGE UNDERSTANDING USING SELF-SIMILAR SIFT FEATURES
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Hering, N.
AU - Schmitt, F.
AU - Priese, L.
PY - 2009
SP - 114
EP - 119
DO - 10.5220/0001753501140119
PB - SciTePress