3D profile measurement based on estimation of spatial shifts between intensity ratios from multiple-step triangular patterns

Wu, Ke; Xi, Jiangtao; Yu, Yanguang; Yang, Zhen

doi:10.1016/j.optlaseng.2012.11.007

Cited by 11 publications

(29 citation statements)

References 26 publications

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“…3. The triangular fringe patterns 24 are projected by a Hitachi Ltd., Chiyoda, Tokyo, Japan CP-X260, and a Duncan Technologies Inc., California, MS3100 3 CCD digital camera is used to capture the fringe patterns. The digital camera is placed on top of the projector with a distance of 350 mm.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…The wrapped uðxÞ is retrieved using the method in Ref. 24, and it is unwrapped using the method in Ref. 20.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…[17][18][19] Among these approaches, the one referred to as inverse function-based shift estimation (IFSE) 19 is particularly interesting. Wu et al 24 improved this method by combining IFSE with the multiple-step triangular-pattern phase shifting algorithm, 25 which greatly improved the accuracy of the measurement.…”

Section: Spatial Shift Estimation-based Fringe Patternmentioning

confidence: 99%

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

Cao

et al. 2014

J. Electron. Imaging

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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. Abstract. 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.

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Section: Experiments and Resultsmentioning

confidence: 99%

“…The wrapped uðxÞ is retrieved using the method in Ref. 24, and it is unwrapped using the method in Ref. 20.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Section: Spatial Shift Estimation-based Fringe Patternmentioning

confidence: 99%

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

Cao

et al. 2014

J. Electron. Imaging

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“…(11) and (19), the unwrapped fringe patterns should also satisfy the same relationship. As s l ðx; yÞ is a linear function with respect to x, we have d l ðx;yÞ ¼ s l ½x − uðx;yÞ;y ¼s l ðx;yÞþ s l ½−uðx;yÞ;y; (20) d l ðx; yÞ ¼ s l ½fðx; yÞ − uðx; yÞ;ḡðx; yÞ ¼ s l ½fðx; yÞ; gðx; yÞ þ s l ½−uðx; yÞ;ḡðx; yÞ; (21) where d l ðx; yÞ andd l ðx; yÞ are the unwrapped fringe patterns of object without movement and with movement, respectively.…”

Section: Proposed Approachmentioning

confidence: 94%

“…The fringe patterns have the same spatial period T, but are successively shifted by T∕N. With these N fringe patterns, the following is employed to yield a function called intensity ratio: 19,20 …”

Section: Principle Of the Intensity Ratio Approachmentioning

confidence: 99%

New approach to improve the performance of fringe pattern profilometry using multiple triangular patterns for the measurement of objects in motion

Lü

et al. 2014

Opt. Eng

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Fringe pattern profilometry using triangular patterns and intensity ratios is a robust and computationally efficient method in three-dimensional shape measurement technique. However, similar to other multiple-shot techniques, the object must be kept static during the process of measurement, which is a challenging requirement for the case of fast-moving objects. Errors will be introduced if the traditional multiple-shot techniques are used directly in the measurement of a moving object. A new method is proposed to address this issue. First, the movement of the object is measured in real time and described by the rotation matrix and translation vector. Then, the expressions are derived for the fringe patterns under the influence of the twodimensional movement of the object, based on which the normalized fringe patterns from the object without movement are estimated. Finally, the object is reconstructed using the existing intensity ratio algorithm incorporating the fringe patterns estimated, leading to improved measurement accuracy. The performance of the proposed method is verified by experiments. Abstract. Fringe pattern profilometry using triangular patterns and intensity ratios is a robust and computationally efficient method in three-dimensional shape measurement technique. However, similar to other multiple-shot techniques, the object must be kept static during the process of measurement, which is a challenging requirement for the case of fast-moving objects. Errors will be introduced if the traditional multiple-shot techniques are used directly in the measurement of a moving object. A new method is proposed to address this issue. First, the movement of the object is measured in real time and described by the rotation matrix and translation vector. Then, the expressions are derived for the fringe patterns under the influence of the two-dimensional movement of the object, based on which the normalized fringe patterns from the object without movement are estimated. Finally, the object is reconstructed using the existing intensity ratio algorithm incorporating the fringe patterns estimated, leading to improved measurement accuracy. The performance of the proposed method is verified by experiments.

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Structured Light Techniques and Applications

Bell

Zhang

2016

Wiley Encyclopedia of Electrical and Electronics Engineering

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Modern hardware and algorithms, developed through several decades of research in multiple disciplines, are contributing toward the continuous advancement of 3D scanning technologies. Simply put, these technologies allow for the digital capture of an object's natural surface geometry. This article presents methods concerning the 3D scanning techniques using structured light, in which different patterns or structures are projected onto the scene to be scanned. The deformation of the original structure, as it falls upon the scanning scene, can be used to recover the scene's geometry. Within structured light technologies, there are several well‐developed approaches in the design of the pattern(s) that are cast upon a scene. Some of the approaches offer significant advantages, such as the ability to capture the 3D geometry of a scene at very high accuracies at real‐time rates. Given these advantages, the adoption of such 3D structured light technologies has been increasing. Being so, this article will also detail applications in which 3D structured light techniques are currently being employed within the fields of medicine, biology, manufacturing, security, communications, remote environment reconstruction, and consumer electronics.

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3D profile measurement based on estimation of spatial shifts between intensity ratios from multiple-step triangular patterns

Cited by 11 publications

References 26 publications

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

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

New approach to improve the performance of fringe pattern profilometry using multiple triangular patterns for the measurement of objects in motion

Structured Light Techniques and Applications

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