Robust Image Matching under a Large Disparity

• Kanazawa Yasushi

• Kanatani Kenichi

抄録

We present a new method for detecting point matches between two images without using any combinatorial search. Our strategy is to impose various local and non-local constraints as "soft" constraints by introducing their "confidence" measures via "mean-field approximations". The computation is a cascade of evaluating the confidence values and sorting according to them. In the end, we impose the "hard" epipolar constraint by RANSAC. We also introduce a model selection procedure to test if the image mapping can be regarded as a homography. We demonstrate the effectiveness of our method by real image examples.

収録刊行物

• Memoirs of the Faculty of Engineering, Okayama University

  Memoirs of the Faculty of Engineering, Okayama University 37 (1), 25-32, 2002-11

  Faculty of Engineering, Okayama University

詳細情報

• CRID: 1390572174776236928
• NII論文ID: 80015664456
• NII書誌ID: AA10699856
• ISSN: 04750071
• DOI: 10.18926/46970
• Web Site: https://ousar.lib.okayama-u.ac.jp/46970
• 本文言語コード: en
• データソース種別:
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  • IRDB
  • CiNii Articles