Image registration based on genetic algorithm and weighted feature correspondences

Zhi Yuan*, Alireza Ahrary, Peimin Yan, Sei Ichiro Kamata

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Super resolution is a technique of enhancing image resolution by combining information from multiple images. It is widely applied in fields like camera surveillance, satellite imaging, pattern recognition, etc. One challenging problem of super resolution is its high demand on image registration accuracy. This paper introduces a high accuracy registration approach for the purpose of super resolution. It is invariant to translation, scaling, rotation, and noise, and can be used to automatically obtain the Maximize a Likelihood Estimation (MLE) of image homography (registration result) using information only contained within the images themselves. An effective Genetic Algorithm based approach is used to filter out all the mismatches. Comparison with RANSAC and Keren's method will be given to prove the effectiveness of the proposed method.

本文言語English
ホスト出版物のタイトル2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009
ページ42-46
ページ数5
DOI
出版ステータスPublished - 2009
イベント2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009 - Kyoto, Japan
継続期間: 2009 5月 252009 5月 28

出版物シリーズ

名前Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN(印刷版)0747-668X

Conference

Conference2009 IEEE 13th International Symposium on Consumer Electronics, ISCE 2009
国/地域Japan
CityKyoto
Period09/5/2509/5/28

ASJC Scopus subject areas

  • 産業および生産工学
  • 電子工学および電気工学

フィンガープリント

「Image registration based on genetic algorithm and weighted feature correspondences」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル