Comparison and combination of three spatial phase unwrapping algorithms

Zhang, Qican; Han, Yuling; Yu-hua, WU

doi:10.1007/s10043-019-00513-7

Cited by 18 publications

(8 citation statements)

References 18 publications

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“…Generally, phase unwrapping is classified into spatial phase unwrapping (SPU) and temporal phase unwrapping (TPU) categories [4] . SPU usually uses fringe patterns with a single frequency to obtain the wrapped phase [14] . Then, the 2π phase ambiguity is solved by comparing it with the surrounding pixels.…”

Section: Introductionmentioning

confidence: 99%

“…Although this method needs no extra patterns to recover the phase, it does not solve the phase ambiguity when measuring multiple isolated or abrupt depth changing objects, because the phase errors will propagate through the path on a discontinuous wrapped phase map [14][15][16] . In order to overcome the deficiencies of the SPU algorithm, TPU methods have developed in recent years by projecting additional patterns to unwrap the phase [15,[17][18][19] .…”

Section: Introductionmentioning

confidence: 99%

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High-speed three-dimensional shape measurement with inner shifting-phase fringe projection profilometry

Yang

Huang

et al. 2022

Chin. Opt. Lett.

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Fringe projection profilometry (FPP) has been extensively studied in the field of three-dimensional (3D) measurement. Although FPP always uses high-frequency fringes to ensure high measurement accuracy, too many patterns are projected to unwrap the phase, which affects the speed of 3D reconstruction. We propose a high-speed 3D shape measurement method using only three high-frequency inner shifting-phase patterns (70 periods), which satisfies both high precision and high measuring speed requirements. Besides, our proposed method obtains the wrapped phase and the fringe order simultaneously without any other information and constraints. The proposed method has successfully reconstructed moving objects with high speed at the camera's full frame rate (1700 frames per second).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High-speed three-dimensional shape measurement with inner shifting-phase fringe projection profilometry

Yang

Huang

et al. 2022

Chin. Opt. Lett.

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“…All of the methods mentioned above use the spatial unwrapping method to calculate the phase. The spatial phase unwrapping method can be used to obtain the reliable results when the signal-to-noise ratio (SNR) is high enough, otherwise it would cause serious error delivery problems 11 , 20 , 21 . Temporal phase unwrapping method can solve the problem of phase error propagation in spatial phase unwrapping using multiple groups of wrapped phases with different frequencies 22 , 23 .…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional profilometry method with single-frame multifrequency composite projection fringe

Yang

Zhang

et al. 2022

Opt. Eng.

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.An improved composite Fourier transform profilometry is proposed in this study to quickly measure the three-dimensional (3D) contour of an object. Three groups of fringe patterns with different frequencies are combined in this method. Compared with the other composite profilometry, it solves the problem of phase error propagation in phase unwrapping. The absolute phase of the object is accurately calculated and the measuring accuracy is improved greatly by filtering out the background direct current noise. Both simulation and experiment results show that the 3D contour of the measured object can be reconstructed quickly and accurately by this method. It has great application potential in the field of real-time 3D measurement.

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“…A phase unwrapping algorithm must be conducted to obtain a continuous phase map. Conventional phase unwrapping algorithms can be divided into two principal categories: spatial phase unwrapping [ 8 , 9 , 10 ] and temporal phase unwrapping [ 11 , 12 , 13 ]. Spatial phase unwrapping implemented on a single wrapped phase map is normally dependent on the unwrapping path.…”

Section: Introductionmentioning

confidence: 99%

Phase Error Analysis and Correction for Crossed-Grating Phase-Shifting Profilometry

Chen

2021

Sensors

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Crossed-grating phase-shifting profilometry (CGPSP) has great utility in three-dimensional shape measurement due to its ability to acquire horizontal and vertical phase maps in a single measurement. However, CGPSP is extremely sensitive to the non-linearity effect of a digital fringe projection system, which is not studied in depth yet. In this paper, a mathematical model is established to analyze the phase error caused by the non-linearity effect. Subsequently, two methods used to eliminate the non-linearity error are discussed in detail. To be specific, a double five-step algorithm based on the mathematical model is proposed to passively suppress the second non-linearity. Furthermore, a precoding gamma correction method based on probability distribution function is introduced to actively attenuate the non-linearity of the captured crossed fringe. The comparison results show that the active gamma correction method requires less fringe patterns and can more effectively reduce the non-linearity error compared with the passive method. Finally, employing CGPSP with gamma correction, a faster and reliable inverse pattern projection is realized with less fringe patterns.

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Comparison and combination of three spatial phase unwrapping algorithms

Cited by 18 publications

References 18 publications

High-speed three-dimensional shape measurement with inner shifting-phase fringe projection profilometry

High-speed three-dimensional shape measurement with inner shifting-phase fringe projection profilometry

Three-dimensional profilometry method with single-frame multifrequency composite projection fringe

Phase Error Analysis and Correction for Crossed-Grating Phase-Shifting Profilometry

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