Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review

Zuo, Chao; Huang, Lei; Zhang, Minliang; Chen, Qian; Asundi, Anand Krishna

doi:10.1016/j.optlaseng.2016.04.022

Cited by 793 publications

(239 citation statements)

References 104 publications

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“…In traditional fringe projection profilometry [18,20] a sinusoidal fringe projected by the projector may be described in projector's coordinate system as (1) where is the frame number and where temporal phase shift of each of frames is given by…”

Section: A Short Review Of Traditional Fringe Projection Profilometrymentioning

confidence: 99%

“…The wrapped phase is then unwrapped using one of the well known phase unwrapping algorithms [19,20,21] to obtain projector's coordinate PRJ which is required to reconstruct the surface profile via triangulation [22]. …”

Section: A Short Review Of Traditional Fringe Projection Profilometrymentioning

confidence: 99%

“…c. Recover the wrapped phase A of @-th projector as the negative phase of the @-th spectral component. d. Unwrap the wrapped phase A using any of the unwrapping algorithms from [19,20,21]. e. Compute projector coordinate A from the unwrapped phase.…”

Section: Proposed Multiplexing Using Temporal Phase-shiftsmentioning

confidence: 99%

See 2 more Smart Citations

Multi-Projector Multi-Camera Structured Light 3D Body Scanner

Petković¹,

Pribanić²,

Đonlić³

et al. 2017

Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition On 3D Body Scanning and Processing Technologies,

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Human body scanners using structured light are usually comprised of one projector which provides a limited view of the body surface due to limited field-of-view. To scan the whole surface of a human body multiple projectors must be used. Using more than one projector in a structured light scanner is typically difficult due to inter-projector interferences which make surface reconstruction a hard task. We propose to use temporal phase-shifts to enable multiplexing in fringe-projection profilometry. In our approach each projector projects a sinusoidal fringe pattern having its own specifically chosen set of temporal phase shifts so for a system of projectors all temporal phase shifts together comprise a DFT basis. Such choice of temporal phase shifts enables simple and efficient separation of the combined pattern into the contributions of each projector. The proposed approach places no constraints on the number of projectors and on spatial projector placement. We demonstrate the applicability of the proposed approach on a prototype human body scanner using three projectors and six cameras.

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Section: A Short Review Of Traditional Fringe Projection Profilometrymentioning

confidence: 99%

Section: A Short Review Of Traditional Fringe Projection Profilometrymentioning

confidence: 99%

See 1 more Smart Citation

Multi-Projector Multi-Camera Structured Light 3D Body Scanner

Petković¹,

Pribanić²,

Đonlić³

et al. 2017

Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition On 3D Body Scanning and Processing Technologies,

View full text Add to dashboard Cite

show abstract

“…The total number of phase shifts is N, and the phase shift index is n. After applying the unwrapping algorithm [10], we obtain the continuous phase map ϕ (XC, YC) illustrated in Figure 2(a) as…”

Section: Phase Matching Error Estimationmentioning

confidence: 99%

“…where σ is the system noise, and BC can be calculated from the set of different shifts phase map [10].…”

Section: Phase Matching Error Estimationmentioning

confidence: 99%

3-D Error Estimation Based on Binocular Stereo Vision Using Fringe Projection

Wei¹,

Liu²,

Zhao³

2017

dtetr

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Abstract. The accuracy of optical 3-D shape measuring system using fringe projection is associated with many factors and usually derived from calibrated reference objects. But such kind of result is a systematic assessment which is useless when considering typical complex surfaces where measurement errors tend to be different due to variances of measuring distance, object reflectivity and curve surface. In this paper, we present a method based on phase error and binocular stereo vision in order to estimate 3-D measurement error. The relationship between 3-D measurement error and system parameters is described at first according to classical binocular stereo vision and photogrammetric principles. An algorithm of phase error calculation is proposed which is focused on captured wavelength and the 3-D measurement error is then generated. We present results derived from practical experiments which demonstrate the acceptance of this method.

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Information-Rich Manufacturing Metrology

Leach¹,

Bointon²,

Feng³

et al. 2018

Precision Assembly in the Digital Age

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Information-rich metrology (IRM) is a new term that refers to an approach, where the conventional paradigm of measurement is transcended, thanks to the introduction and active role of multiple novel sources of information. The overarching goal of IRM is to encompass and homogenise all those measurement scenarios where information available from heterogeneous sources, for example, from the object being measured, the manufacturing process that was used to fabricate it, the workings of the measurement instrument itself, as well as from any previous measurements carried with any other instrument, is gathered and somewhat incorporated with an active role into the measurement pipeline in order to ultimately achieve a higher-quality measurement result (better metrological performance, shorter measurement times, smaller consumption of resources). Examples of IRM in action in precision and additive manufacturing will be presented, including the measurement of form and texture.

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Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review

Cited by 793 publications

References 104 publications

Multi-Projector Multi-Camera Structured Light 3D Body Scanner

Multi-Projector Multi-Camera Structured Light 3D Body Scanner

3-D Error Estimation Based on Binocular Stereo Vision Using Fringe Projection

Information-Rich Manufacturing Metrology

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