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Auto-calibrating photometric stereo using ring light constraints

机译:使用环形光限制条件自动校准光度立体

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摘要

We propose an auto-calibration method for photometric stereo. Our method exploits constraints placed on light sources to recover their positions and the surface normals of an object up to a scaling and planar rotation ambiguity. The ambiguity is resolved with multi-view consistency constraints leading to a Euclidean reconstruction of the geometric shape of the object. Auto-calibration methods are helpful to overcome the limitations imposed by calibrating objects. We evaluate our algorithm with experiments on real world scenes.
机译:我们提出了一种用于光度立体的自动校准方法。我们的方法利用放置在光源上的约束来恢复它们的位置和对象的表面法线,直到缩放和平面旋转模糊。用多视图一致性约束解决歧义,从而导致对象几何形状的欧几里得重建。自动校准方法有助于克服校准对象带来的限制。我们通过在真实世界场景上进行的实验来评估我们的算法。

著录项

  • 来源
    《Machine Vision and Applications》 |2014年第3期|801-809|共9页
  • 作者单位

    Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore;

    Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore;

    Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Photometric stereo; Auto-calibration; Multi-view stereo; Ring light constraints;

    机译:光度立体;自动校准多视角立体声;环形灯约束;

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