B118 自己組織化マップを用いた棒状物体3次元計測アルゴリズムの開発

• 森川 敏英

  京工繊大院

• 村田 滋

  京工繊大

書誌事項

タイトル別名

• Development of measuring algorithm for slender objects in three-dimensional space using a self-organizing map
• ジコ ソシキカ マップ オ モチイタ ボウジョウ ブッタイ 3ジゲン ケイソク アルゴリズム ノ カイハツ

抄録

This paper presents the clustering algorithm for detected points of slender objects in 3D space using a self-organizing map(SOM) and its test results in numerical simulations. In the 3D measurement of slender objects using digital holography, a lot of object points are detected for each slender object. The present method can identify the detected points for each object to know the object information, such as shape and inclination. The clustering performance is checked in numerical simulations. The simulations employ two different models in which the detected points are isotropically and linearly distributed in 3D space. The test results show that this algorithm can successfully identify several target clusters in 3D space.

収録刊行物

• 可視化情報学会誌

  可視化情報学会誌 26 (Supplement2), 113-116, 2006

  社団法人 可視化情報学会

キーワード

• Slender objects
• Self-organizing map
• 3D measurement
• Digital holography
• clustering

詳細情報

• CRID: 1390001204618288384
• NII論文ID: 10018247285
• NII書誌ID: AN10374478
• DOI: 10.3154/jvs.26.supplement2_113
• ISSN: 1884037X
• ISSN: 09164731
• NDL書誌ID: 8516802
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8516802
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可