1P2-H03 視覚IDタグと画像特徴を利用した複雑背景環境下での三次元物体形状モデルの生成と利用(空間知)

• 雲丹亀 達哉

  甲南大

• 梅谷 智弘

  甲南大

• 田村 祐一

  甲南大

書誌事項

タイトル別名

• 1P2-H03 Construction of Three-Dimensional Object Shape Model using Visual ID Tags and Image Features under Complex Background Images(Integrating Ambient Intelligence)

抄録

This paper describes a method for construction of a feature points-based shape model using visual ID tags and natural feature points in the camera images. The method involves the construction of a polyhedral model of the object by means of visual ID tags assigned to natural feature points of the object. The pose of the target object are estimated by the matching of the feature points in the captured camera image and those of the constructed feature-points model. The surface of the object model are projected to the camera image using the pose-estimation results, therefore, the estimation system can register the feature points to the object shape model. The paper focuses on the evaluation of the estimation of the pose of the object model. Experimental results show the feasibility of the method.

収録刊行物

• ロボティクス・メカトロニクス講演会講演概要集

  ロボティクス・メカトロニクス講演会講演概要集 2014 (0), _1P2-H03_1-_1P2-H03_3, 2014

  一般社団法人 日本機械学会

キーワード

• Object shape model
• Visual ID tag
• Image features
• Pose estimation

詳細情報

• CRID: 1390282680914953856
• NII論文ID: 110009968783
• DOI: 10.1299/jsmermd.2014._1p2-h03_1
• ISSN: 24243124
• Web Site: https://www.jstage.jst.go.jp/article/jsmermd/2014/0/2014__1P2-H03_1/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可