3D Object Recognition Based on Description of Geometric Relations among Features Extracted from Surface Models

• Maeda Makoto

  Kyushu Institute of Technology

• Kumamaru Kousuke

  Kyushu Institute of Technology

• Inoue Katsuhiro

  Kyushu Institute of Technology

抄録

Geometric hashing method is well-known as one of techniques that realize 3D model matching procedure as quickly as possible. The matching process of the method uses hash-tables prepared off-line for the surface models of all 3D objects to be registered in a database. In order to index the model information into the hash-table, a hash function is required. It has to provide an index value that uniquely describes geometric relations among features extracted from the surface models. In this paper, two hash functions are proposed, in which they are defined by using several geometric features such as normal vectors and curvatures. Furthermore, in order to improve the efficiency of the matching process, a rehashing procedure is introduced so that the calculated indexes may be scattered within the hash table as uniformly as possible. Through experiments using several surface models, it has been verified the geometric hashing method introducing the novel hash functions and the rehashing procedure is effective in 3D object recognition.

収録刊行物

• Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications

  Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2009 (0), 176-181, 2009-05-05

  システム制御情報学会ストカスティックシステムシンポジウム

キーワード

• Materials Science (miscellaneous)

詳細情報

• CRID: 1390845712963899392
• NII論文ID: 130007377339
• DOI: 10.5687/sss.2009.176
• ISSN: 21884749
• ISSN: 21884730
• Web Site: https://www.jstage.jst.go.jp/article/sss/2009/0/2009_176/_pdf
• 本文言語コード: en
• データソース種別:
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  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可