Feature point matching with matching distribution

Journal article

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Publication Details

Author list: Ratanasanya S., Polvichai J., Sirinaovakul B.

Publisher: Springer

Publication year: 2015

Journal: Advances in Intelligent Systems and Computing (2194-5357)

Volume number: 361

Start page: 9

End page: 18

Number of pages: 10

ISSN: 2194-5357

eISSN: 2194-5357

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84931274222&doi=10.1007%2f978-3-319-19024-2_2&partnerID=40&md5=fbeea0af14a032e0ef807703d9aa9ed3

Languages: English-Great Britain (EN-GB)

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Abstract

Most of the feature point matching techniques considers only the number of matches. The higher number of matches is, the better results are. However, reliability and quality of the matching is addressed in a few techniques. So, finding the good matches of the pairs of points from the two given point sets is one of the main issue of feature point matching. This paper presents new approach to obtain reliable and good matches. The high quality of matching can be achieved when the matches are spread all over the entire point set. Therefore, we proposed to use the distribution of the matches to verify the quality of the matching. The preliminary results show that our proposed algorithm significantly outperform SIFT even when the results of SIFT are enhanced using RANSAC. ฉ Springer International Publishing Switzerland 2015.

Keywords

Feature point matching, Image registration, RANSAC, SIFT