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Authors: Igor G. Olaizola 1 ; Iñigo Barandiaran 1 ; Basilio Sierra 2 and Manuel Graña 2

Affiliations: 1 Vicomtech-IK4 Research Alliance, Spain ; 2 UPV-EHU, Spain

ISBN: 978-989-8565-47-1

Keyword(s): Feature Descriptor, Trace Transform, Image Matching, Image Characterization.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: Global and local image feature extraction is one of the most common tasks in computer vision since they provide the basic information for further processes, and can be employed on several applications such as image search & retrieval, object recognition, 3D reconstruction, augmented reality, etc. The main parameters to evaluate a feature extraction algorithm are its discriminant capability, robustness and invariance behavior to certain transformations. However, other aspects such as computational performance or provided feature length can be crucial for domain specific applications with specific constraints (real-time, massive datasets, etc.). In this paper, we analyze the main characteristics of the DITEC method used both as global and local descriptor method. Our results show that DITEC can be effectively applied in both contexts.

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Paper citation in several formats:
Olaizola, I.; Barandiaran, I.; Sierra, B. and Graña, M. (2013). DITEC - Experimental Analysis of an Image Characterization Method based on the Trace Transform.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 344-352. DOI: 10.5220/0004292303440352

@conference{visapp13,
author={Igor G. Olaizola. and Iñigo Barandiaran. and Basilio Sierra. and Manuel Graña.},
title={DITEC - Experimental Analysis of an Image Characterization Method based on the Trace Transform},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={344-352},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004292303440352},
isbn={978-989-8565-47-1},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - DITEC - Experimental Analysis of an Image Characterization Method based on the Trace Transform
SN - 978-989-8565-47-1
AU - Olaizola, I.
AU - Barandiaran, I.
AU - Sierra, B.
AU - Graña, M.
PY - 2013
SP - 344
EP - 352
DO - 10.5220/0004292303440352

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