High-resolution few-pattern method for 3D optical measurement

Wu, Guofang; Wu, Yanxue; Li, Lingchi; Liu, Fei

doi:10.1364/ol.44.003602

Cited by 62 publications

(18 citation statements)

References 29 publications

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“…Many methods for phase unwrapping have been proposed, which most of them can be categorized into two types: the temporal and the spatial phase unwrapping [7]. The former method aims to collect more information for phase unwrapping from temporal axis, e.g., the multi-frequency heterodyne [8], multi-frequency phase-shifting technology [9], gray-code method [10] and phase-shift-code method [11,12]. The temporal phase unwrapping performs the unwrapping process pixel by pixel and therefore has advantage of high robustness.…”

Section: Introductionmentioning

confidence: 99%

Measurement depth modeling and extension for geometric constraint phase unwrapping method

2024

International Conference on Optical and Photonic Engineering (icOPEN 2023)

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As an important phase unwrapping method in Fringe Projecting Profilometry, the geometric constraint enables pixel-by-pixel computation while avoiding the projection of additional patterns. However, its measurement depth is limited to one fringe period and influenced by multiple factors from the camera-projector system. There is still a lack of a generalized model that can describe the measurement depth. In this paper, to completely understand the variables related to the measurement depth, we analyze the unwrapping process of geometric constraint and derive a generalized model. To validate the key variables in the model, we establish a virtual camera-projector system and conduct simulations. Based on the simulation results, we propose four ways to extend the measurement depth, including (a) selecting a reference plane farther away from the camera, (b) designing the fringe patterns with fewer periods, (c) using the shorter focal lens and (d) reducing the camera-projector distance.

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Section: Introductionmentioning

confidence: 99%

Measurement depth modeling and extension for geometric constraint phase unwrapping method

2024

International Conference on Optical and Photonic Engineering (icOPEN 2023)

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“…To overcome the defects of these two traditional methods, numerous phase unwrapping algorithms have been developed. A series of phase-coding methods are proposed by embedding the information of the fringe order into fringe patterns to determine the corresponding fringe order [26][27][28][29][30] . Wang et al proposed a phase-coding method by projecting three-step phase-shifting patterns and three phase-coding patterns to acquire the absolute phase map [31] .…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, a high-speed measurement system is prepared to reconstruct moving objects at the camera's full frame rate (1700 frames per second). The method of inner shifting-phase fringe projection was first proposed in our previous work [28,29], which required four patterns. In this paper, we reduced the number of patterns to three, which should achieve higher efficiency with fewer pictures.…”

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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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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“…By calculating a least square solution using the triple-view information, more accurate 3D surface data can be reconstructed. Compared with the related works [17][18][19][20][21][22][23][24][25][26], the proposed method makes adequate use of triple-view information to achieve more accurate 3D measurement with relative less computational correlation cost, which has certain instructive significance in the field of 3D profilometry and practical measurement engineering. Three-step phase-shifting algorithm is suitable for highspeed measurements due to its advantage of requiring the minimum number of patterns for phase extraction.…”

Section: Introductionmentioning

confidence: 99%

Accurate and dynamic 3D shape measurement with digital image correlation-assisted phase shifting

Hu¹,

Yang²,

Zheng³

et al. 2021

Meas. Sci. Technol.

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Phase shifting profilometry (PSP) has been widely used in structured-light (SL) system for three-dimensional (3D) shape measurements, but the speed of PSP technique is limited by the increased phase-shifting patterns. This paper proposes an accurate and dynamic 3D shape measurement method by projecting only four patterns including three-step phase-shifting patterns and one speckle pattern. Three-step phase-shifting images are used to obtain the initial unwrapped phase map with phase ambiguity. Based on the principle of digital image correlation (DIC) and multi-view geometry, the absolute phase can be recovered reliably without requiring any embedded features or pre-defined information of the object. To improve the measurement accuracy, the projector coordinate is used as the measuring coordinate to establish a novel stereo structured-light system model. By solving a least square solution using the triple-view information, accurate 3D surface data can be reconstructed. The experimental results indicate that the proposed method can perform high-speed and accurate 3D shape measurements with an accuracy of 10.64 μm, which is superior to conventional methods and has certain instructive significance for 3D profilometry and measurement engineering.

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High-resolution few-pattern method for 3D optical measurement

Cited by 62 publications

References 29 publications

Measurement depth modeling and extension for geometric constraint phase unwrapping method

Measurement depth modeling and extension for geometric constraint phase unwrapping method

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

Accurate and dynamic 3D shape measurement with digital image correlation-assisted phase shifting

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