loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yinan Wang ; Nuo Zhang ; Toshinori Watanabe and Hisashi Koga

Affiliation: The University of Electro-Communications, Japan

Keyword(s): Feature Matching, Local Binary Pattern (LBP), Scale Invariant Feature Transform (SIFT).

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

Abstract: Scale Invariant Feature Transform (SIFT) is a very powerful and popular descriptor for image registration, which is commonly used in feature matching. However, there is still a need for improvement with respect to the matching accuracy of SIFT. In this paper, we present a combination of modified LBP and SIFT method for more reliable feature matching. The main idea of the proposed method is to extract spatially enhanced image features with modified Local Binary Pattern (LBP) from the images before implementation Difference-of-Gaussian (DoG) in SIFT. The proposed method is also robust to illumination changes, rotation and scaling of images. Experimental results show significant improvement over original SIFT.

CC BY-NC-ND 4.0

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 3.138.134.106

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:
Wang, Y. ; Zhang, N. ; Watanabe, T. and Koga, H. (2012). AN EFFECTIVE METHOD FOR IMAGE MATCHING BASED ON MODIFIED LBP AND SIFT. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 410-413. DOI: 10.5220/0003827004100413

@conference{visapp12,
author={Yinan Wang and Nuo Zhang and Toshinori Watanabe and Hisashi Koga},
title={AN EFFECTIVE METHOD FOR IMAGE MATCHING BASED ON MODIFIED LBP AND SIFT},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={410-413},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003827004100413},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - AN EFFECTIVE METHOD FOR IMAGE MATCHING BASED ON MODIFIED LBP AND SIFT
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Wang, Y.
AU - Zhang, N.
AU - Watanabe, T.
AU - Koga, H.
PY - 2012
SP - 410
EP - 413
DO - 10.5220/0003827004100413
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic