RGB-Dカメラによる寸法情報付きオルソ画像を用いた手術用鋼製器具の識別

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: 2024/09/01

タイトル(英語): A Basic Study on Identification of Surgical Steel Instruments Using Ortho-image with Dimensional Information Obtained by RGB-D Camera

著者名: 青木　広宙（公立千歳科学技術大学），檜垣　長陽（公立千歳科学技術大学），藤田　憲明（北海道大学病院）

著者名(英語): Hirooki Aoki (Chitose Institute of Science and Technology), Nagaaki Higaki (Chitose Institute of Science and Technology), Noriaki Fujita (Hokkaido University Hospital)

キーワード: RGB-Dカメラ，正斜変換，オルソ画像，寸法情報，オブジェクト検出，オブジェクト識別　　RGB-D camera，orthogonal transformation，ortho-image，dimensional information，object detection，object identification

要約(英語): In this study, to realize a simple identification of surgical steel instruments, we proposed a method to detect surgical steel instruments using Faster R-CNN on ortho-images of surgical steel instruments acquired with an RGB-D camera, and furthermore, to identify surgical steel instruments based on their dimensional information. In the proposed method, ortho-images are generated by orthographic transformation of 3D point clouds acquired using Intel REALSENSE DEPTH CAMERA D435i. A faster R-CNN object detector was applied to the ortho-image to detect surgical steel instruments. Since the ortho-image of the proposed method contains dimensional information, the area value of the region containing the surgical steel instrument can be easily calculated, and the surgical steel instrument can be identified without image scale correction.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.144 No.9 （2024） 特集：知能メカトロニクス分野と連携する知覚情報技術

本誌掲載ページ: 868-874 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/144/9/144_868/_article/-char/ja/