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PC_FFIW A Robust Image Matching Algorithm

by Behloul Ali, Aksa Abla
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 21
Year of Publication: 2012
Authors: Behloul Ali, Aksa Abla
10.5120/7895-1230

Behloul Ali, Aksa Abla . PC_FFIW A Robust Image Matching Algorithm. International Journal of Computer Applications. 49, 21 ( July 2012), 20-24. DOI=10.5120/7895-1230

@article{ 10.5120/7895-1230,
author = { Behloul Ali, Aksa Abla },
title = { PC_FFIW A Robust Image Matching Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 21 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number21/7895-1230/ },
doi = { 10.5120/7895-1230 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:47:07.855683+05:30
%A Behloul Ali
%A Aksa Abla
%T PC_FFIW A Robust Image Matching Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 21
%P 20-24
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image matching, it's a crucial problem in computer vision and image processing. In order to improve the matching results, a proposed solution consists on employing geometric constraints. In this paper, we propose two effectiveness matching methods, which are called "First Found Is Winner" (FFIW) and "Polarity Coordinates And FFIW" (PC_FFIW). The first one is based on photometric data, while the second one, uses both photometric and geometric data. The proposed methods are based on three-step. Firstly, we detect for each image its corner points. Secondly, descriptors vectors are calculated for each corner points. Thirdly, to match the pair of images P and Q, we apply a matching algorithm optimized to find the best match for each descriptor from the first image with the descriptors of the second image. Experimental results presented to demonstrate that our proposed methods are efficient and give promising results in terms of repeatability and processing time.

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Index Terms

Computer Science
Information Sciences

Keywords

Image matching photometric and geometric data local feature repeatability

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