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文章基本信息

  • 标题:Object-Oriented Color Calibration of Multi-viewpoint Cameras in Sparse and Convergent Arrangement
  • 本地全文:下载
  • 作者:Shohei Nobuhara ; Yuta Kimura ; Takashi Matsuyama
  • 期刊名称:Information and Media Technologies
  • 电子版ISSN:1881-0896
  • 出版年度:2011
  • 卷号:6
  • 期号:1
  • 页码:91-103
  • DOI:10.11185/imt.6.91
  • 出版社:Information and Media Technologies Editorial Board
  • 摘要: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.
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