MISC

2014年

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)

ロボティクス・メカトロニクス講演会講演概要集
  • 雲丹亀 達哉
  • ,
  • 梅谷 智弘
  • ,
  • 田村 祐一

2014
0
開始ページ
_1P2
終了ページ
H03_1-_1P2-H03_3
記述言語
日本語
掲載種別
DOI
10.1299/jsmermd.2014._1P2-H03_1
出版者・発行元
一般社団法人 日本機械学会

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.

リンク情報
DOI
https://doi.org/10.1299/jsmermd.2014._1P2-H03_1
CiNii Articles
http://ci.nii.ac.jp/naid/110009968783
ID情報
  • DOI : 10.1299/jsmermd.2014._1P2-H03_1
  • CiNii Articles ID : 110009968783

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