テンプレート照合を用いた局所特徴の射影不変性診断法

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2016/08/01

タイトル(英語): A Projectivity Diagnosis of Local Feature Using Template Matching

著者名: 大城　英裕（大分大学工学部），谷口　倫一郎（九州大学大学院システム情報科学研究院），井上　誠喜（(株) NHKメディアテクノロジー アドバンストメディアセンター），行天　啓二（大分大学工学部）

著者名(英語): Hidehiro Ohki (Depertment of Engneering, Oita University), Rin-ichiro Taniguchi (Graduate School of Information Science and Electrical Engineering, Kyushu University), Seiki Inoue (Advance Media Center, NHK Media Technology), Keiji Gyohten (Depertment of Engneering, Oita University)

キーワード: 局所特徴記述子，射影不変性，診断法，テンプレート照合　　local feature descriptor，projectivity，diagnosis，template matching

要約(英語): It is well known that points on a plane in 3D world are related to corresponding image points in a view of a moving camera by projective translation. Good image feature have robust projectivity under any camera movements. In the standard performance evaluation of image processing, real captured images of a scene is used ordinary. However it is not enough to evaluate in detail because the variation of camera angle and distance to target objects is limited and the capturing cost is expensive. During the early stage of the image processing development, the basic performance measurement should be the most important in an easy way. We propose a projectivity diagnosis method to measure the performance of local descriptor base template matching between a template image and reference images which are created by deforming the template image. This template matching consist of a feature image point extraction and a local descriptor matching. The proposed method evaluates the positional accuracy of the extracted feature points and the matching with local descriptor. Four metrics are introduced to evaluate the projectivity of template matching. In the experiment, our proposed diagnosis method exposed the projectivity of SIFT, SURF and ORB. SIFT showed the better robustness than the others.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.8 （2016） 特集Ⅰ：知能メカトロニクス分野と連携する知覚情報技術　特集Ⅱ：国際会議ICESS 2015

本誌掲載ページ: 1112-1119 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/136/8/136_1112/_article/-char/ja/