Object-Oriented Color Calibration of Multi-viewpoint Cameras in Sparse and Convergent Arrangement
Object-Oriented Color Calibration of Multi-viewpoint Cameras in Sparse and Convergent Arrangement
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DOI：
10.2197/ipsjtcva.2.132
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
S. Nobuhara;Yuta Kimura;T. Matsuyama
中科院分区：
文献类型：
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作者：
S. Nobuhara;Yuta Kimura;T. Matsuyama
提出了一种新的多视点图像颜色校正方法。我们的方法的主要贡献是它的实用和有效的程序，而传统的方法是劳动密集型的。因为我们的方法自动提取场景中的3D点进行颜色校准，我们不需要捕获像Macbeth图表的颜色校准对象。这使我们能够校准一组多视点图像的捕获环境是不可用的。对真实的图像的实验表明，该方法可以（1）通过留一法定量地减少像素值的差异，（2）通过绘制3D视频定性地减少像素值的差异。
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.