Object-Oriented Color Calibration of Multi-viewpoint Cameras in Sparse and Convergent Arrangement

• Nobuhara Shohei

  Kyoto University

• Kimura Yuta

  Kyoto University

• Matsuyama Takashi

  Kyoto University

Abstract

This paper proposes a new color calibration method for multi-viewpoint images captured by sparsely and convergently arranged cameras. The main contribution of our method is its practical and efficient procedure while traditional methods are known to be labor-intensive. Because our method automatically extracts 3D points in the scene for color calibration, we do not need to capture color calibration objects like Macbeth chart. This enables us to calibrate a set of multi-viewpoint images whose capture environment is not available. Experiments with real images show that our method can minimize the difference of pixel values (1) quantitatively by leave-one-out evaluation, and (2) qualitatively by rendering a 3D video.

Journal

• IPSJ Transactions on Computer Vision and Applications

  IPSJ Transactions on Computer Vision and Applications 2 132-144, 2010

  Information Processing Society of Japan

Keywords

• Computer Vision and Pattern Recognition

Details

• CRID: 1390282680268986752
• NII Article ID: 130000419351
• NII Book ID: AN00116647
• ISSN: 18827772
• ISSN: 18826695
• ISSN: 03875806
• DOI: 10.2197/ipsjtcva.2.132
• NDL BIB ID: 024315793
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I024315793
• Web Site: http://www.jstage.jst.go.jp/article/ipsjtcva/2/0/2_0_132/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed