Fundamental Matrix Computation: Theory and Practice

• Kanatani Kenichi

• Yasuyuki Sugaya

抄録

We classify and review existing algorithms for computing the fundamental matrix from point correspondences and propose new effective schemes: 7-parameter Levenberg-Marquardt (LM) search, EFNS, and EFNS-based bundle adjustment. Doing experimental comparison, we show that EFNS and the 7-parameter LM search exhibit the best performance and that additional bundle adjustment does not increase the accuracy to any noticeable degree.

収録刊行物

• Memoirs of the Faculty of Engineering, Okayama University

  Memoirs of the Faculty of Engineering, Okayama University 42 (1), 18-35, 2008-01

  Faculty of Engineering, Okayama University

詳細情報

• CRID: 1390853649478606336
• NII論文ID: 120002308468
• NII書誌ID: AA10699856
• ISSN: 04750071
• DOI: 10.18926/14056
• Web Site: https://ousar.lib.okayama-u.ac.jp/14056
• 本文言語コード: en
• データソース種別:
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  • IRDB
  • CiNii Articles