loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Iñigo Barandiaran 1 ; Camilo Cortes 2 ; Marcos Nieto 3 ; Manuel Graña 4 and Oscar E. Ruiz 5

Affiliations: 1 Vicomtech-IK4 Research Alliance and UPV-EHU, Spain ; 2 Vicomtech-IK4 Research Alliance and Universidad EAFIT, Spain ; 3 Vicomtech-IK4 Research Alliance, Spain ; 4 UPV-EHU, Spain ; 5 Universidad EAFIT, Colombia

ISBN: 978-989-8565-47-1

Keyword(s): Keypoint Extraction, Feature Descriptor, Keypoint Matching, Homography Estimation.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Image Registration ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation

Abstract: Key point extraction and description mechanisms play a crucial role in image matching, where several image points must be accurately identified to robustly estimate a transformation or to recognize an object or a scene. New procedures for keypoint extraction and for feature description are continuously emerging. In order to assess them accurately, normalized data and evaluation protocols are required. In response to these needs, we present a (1) new evaluation framework that allow assessing the performance of the state-of-the-art feature point extraction and description mechanisms, (2) a new image dataset acquired under controlled affine and photometric transformations and (3) a testing image generator. Our evaluation framework allows generating detailed curves about the performance of different approaches, providing a valuable insight about their behavior. Also, it can be easily integrated in many research and development environments. The contributions mentioned above are available on-line for the use of the scientific community. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.209.104.7

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Barandiaran, I.; Cortes, C.; Nieto, M.; Graña, M. and Ruiz, O. (2013). A New Evaluation Framework and Image Dataset for Keypoint Extraction and Feature Descriptor Matching.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 252-257. DOI: 10.5220/0004211502520257

@conference{visapp13,
author={Iñigo Barandiaran. and Camilo Cortes. and Marcos Nieto. and Manuel Graña. and Oscar E. Ruiz.},
title={A New Evaluation Framework and Image Dataset for Keypoint Extraction and Feature Descriptor Matching},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={252-257},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004211502520257},
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 - A New Evaluation Framework and Image Dataset for Keypoint Extraction and Feature Descriptor Matching
SN - 978-989-8565-47-1
AU - Barandiaran, I.
AU - Cortes, C.
AU - Nieto, M.
AU - Graña, M.
AU - Ruiz, O.
PY - 2013
SP - 252
EP - 257
DO - 10.5220/0004211502520257

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.