局所特徴量を用いた事例参照に基づく位置同定

小野 善太郎, 堀田 政二, 馮 尭楷, 内田 誠一

研究成果: Contribution to journalArticle査読

抄録

This paper analyzes location recognition by using local features and a simple nearest neighbor approach; after determining the location of each input local feature by nearest neighbor, the final recognition result of the entire input image is determined by voting. Specifically, if the input image is gets N local features, N location candidates are determined by the nearest neighbor (or k-nearest neighbor) from stored scenery images at known locations, and then the most major location is selected as the final location recognition result. Image block and SURF ware employed and examined as local features.
寄稿の翻訳タイトルInstance-Based Localization Using Local Features
本文言語日本語
ページ(範囲)31-36
ページ数6
ジャーナルIEICE technical report
109
418
出版ステータス出版済み - 2 11 2010

引用スタイル