Simulation on Automated Reconstruction of Urban 3D Object using Laser Range Finder (LRF) Data.

• ZHAO Huijing

  Institute of Industrial Science University of Tokyo

• SHIBASAKI Ryosuke

  Institute of Industrial Science University of Tokyo

Bibliographic Information

Other Title

• レンジ画像による３次元都市空間データの自動計測方法に関するシミュレーション
• レンジ ガゾウ ニヨル 3ジゲン トシ クウカン データ ノ ジドウ ケイソク

Abstract

In this paper, we described an approach for 3D object reconstruction using simulated laser range finder (LRF) data. For the purpose of automatic registration of multiple views of LRF data without apriori knowledge of the views, such as location and direction, planar faces are extracted from the LRF data, and by automatically identifying the corresponding pairs of planar faces, the spatial relationships (the rotation matrixes and the shift vectors) between the views are estimated. To extract planar faces reliably from erroneous LRF data, the MDL (minimum description length) principle is used. In registrating multiple views, two steps-local and global registration-are used to find transformations to avoid the accumulation of registration errors between all the views.

Journal

• Journal of the Japan society of photogrammetry and remote sensing

  Journal of the Japan society of photogrammetry and remote sensing 36 (4), 17-25, 1997

  Japan Society of Photogrammetry and Remote Sensing

Details

• CRID: 1390282679053068928
• NII Article ID: 10002050328
• NII Book ID: AN00111450
• DOI: 10.4287/jsprs.36.4_17
• ISSN: 18839061
• ISSN: 02855844
• NDL BIB ID: 4292913
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4292913
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed