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Authors: Giang Phuong Nguyen and Hans Jørgen Andersen

Affiliation: Aalborg University, Denmark

Keyword(s): Local descriptors, Image features, Triangular representation, Image retrieval/recognition.

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 ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: Local features up to now are often mentioned in the meaning of interest points. A patch around each point is formed to compute descriptors or feature vectors. Therefore, in order to satisfy different invariant imaging conditions such as scales and viewpoints, an input image is often represented in a scale-space, i.e. size of patches are defined by their corresponding scales. Our proposed technique for detecting local features is different, where no scale-space is required, by dividing the given image into a number of triangles with sizes dependent on the content of the image at the location of each triangle. In this paper, we demonstrate that the triangular representation of images provide invariant features of the image. Experiments using these features show higher retrieval performance over existing methods.

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Paper citation in several formats:
Phuong Nguyen, G. and Jørgen Andersen, H. (2010). A NEW APPROACH FOR DETECTING LOCAL FEATURES. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP; ISBN 978-989-674-029-0; ISSN 2184-4321, SciTePress, pages 221-226. DOI: 10.5220/0002848402210226

@conference{visapp10,
author={Giang {Phuong Nguyen}. and Hans {Jørgen Andersen}.},
title={A NEW APPROACH FOR DETECTING LOCAL FEATURES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP},
year={2010},
pages={221-226},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002848402210226},
isbn={978-989-674-029-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP
TI - A NEW APPROACH FOR DETECTING LOCAL FEATURES
SN - 978-989-674-029-0
IS - 2184-4321
AU - Phuong Nguyen, G.
AU - Jørgen Andersen, H.
PY - 2010
SP - 221
EP - 226
DO - 10.5220/0002848402210226
PB - SciTePress