A Preliminary Study on Low Overlapping Unorganized Point Clouds Registration Using Hough Voting

• Peralta Luis

  Graduate School of Science and Technology, Shinshu University

• Sandoval 　 Jaime

  Interdisciplinary Graduate School of Science and Technology, Shinshu University

• Iwakiri 　Munetoshi

  Department of Computer Science, National Defense Academy of Japan

• Tanaka 　Kiyoshi

  Academic Assembly (Institute of Engineering), Shinshu University

抄録

Registration of multi-view point clouds is a task in 3D computer vision used for surface reconstruction which researchers have improved its efficiency and accuracy. In spite of the efforts and successes, just a few approaches address the specific problem of carrying out registration of point clouds with low overlapping ratio. In this report. we present a method that focuses on finding the rigid transformation that leads to the optimum registration between a pair of unorganized point clouds with low overlapping. This method exploits the characteristic of subset belonging from the well-known ICP registration algorithm, and through a Hough transform-like search looks for the points which neighboring points registration leads to a rigid transformation close to the optimal.

収録刊行物

• 画像電子学会研究会講演予稿

  画像電子学会研究会講演予稿 18.03 (0), 8-13, 2019

  一般社団法人 画像電子学会

キーワード

• 3D Point C1ouds
• Registration
• Low Overlapping Ratio
• Hough Voting

詳細情報

• CRID: 1390285300180545920
• NII論文ID: 130007884343
• DOI: 10.11371/wiieej.18.03.0_8
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可