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Spatial shift unwrapping for digital fringe profilometry based on spatial shift estimation

机译:基于空间偏移估计的数字条纹轮廓测量的空间偏移展开

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摘要

An approach is presented to solve the problem of spatial shift wrapping associated with spatial shift estimation-based fringe pattern profilometry (FPP). This problem arises as the result of fringe reuses (that is, use of fringes with periodic light intensity variance), and the spatial shift can only be identified without ambiguity within the range of a fringe width. It is demonstrated that the problem is similar to the phase unwrapping problem associated with the phase-detection-based FPP, and the proposed method is inspired by the existing ideas of using multiple images with different wavelengths proposed for phase unwrapping. The effectiveness of the proposed method is verified by comparing experimental results against several objects, with the last object consisting of more complex surface features. We conclude by showing that our method is successful in reconstructing the fine details of the more complex object.
机译:提出了一种方法来解决与基于空间移位估计的条纹图案轮廓测定法(FPP)相关的空间移位包裹问题。由于条纹重复使用(即使用具有周期性光强度变化的条纹)而导致出现此问题,并且空间偏移只能在条纹宽度范围内无歧义地识别。事实证明,该问题类似于与基于相位检测的FPP相关联的相位解开问题,并且所提出的方法受到了使用提出的具有不同波长的多个图像进行相位解开的现有思想的启发。通过比较几个对象的实验结果验证了所提方法的有效性,最后一个对象由更复杂的表面特征组成。通过显示结论,我们的方法成功地重构了更复杂对象的精细细节。

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