Optical three-dimensional sensing by phase measuring profilometry

Halioua, Maurice; Liu, Hsin-Chu

doi:10.1016/0143-8166(89)90031-6

Cited by 140 publications

(48 citation statements)

References 39 publications

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“…Based on the conclusions made by Eiríksson et al [4], we have selected a scanner system composed of two cameras and one projector which uses the phase shifting (PS) encoding strategy [7]. In short, the projector projects a series of spatially distributed gray-scale sinusoidal patterns onto the target surface.…”

Section: Structured Light Scannermentioning

confidence: 99%

A Variational Study on BRDF Reconstruction in a Structured Light Scanner

Nielsen

Stets

Lyngby

et al. 2017

2017 IEEE International Conference on Computer Vision Workshops (ICCVW)

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Time-efficient acquisition of reflectance behavior together with surface geometry is a challenging problem. In this study, we investigate the impact of system parameter uncertainties when incorporating a data-driven BRDF reconstruction approach into the standard pipeline of a structured light scanning system. The parameters investigated include geometric detail of scanned objects; vertex positions and normals; and position and intensity of light sources. To have full control of uncertainties, experiments are carried out in a simulated environment, mimicking an actual structured light scanning setup. Results show that while uncertainties in vertex positions and normals have a high impact on the quality of reconstructed BRDFs, object geometry and light source properties have very little influence on the reconstructed BRDFs. With this analysis, practitioners now have insight in the tolerances required for accurate BRDF acquisition to work.

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Section: Structured Light Scannermentioning

confidence: 99%

A Variational Study on BRDF Reconstruction in a Structured Light Scanner

Nielsen

Stets

Lyngby

et al. 2017

2017 IEEE International Conference on Computer Vision Workshops (ICCVW)

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“…The surface profile is obtained by detecting the phase maps of the two fringe patterns. A number of fringe pattern analysis methods have been developed, such as Fourier transform profilometry (FTP), 2 phase shifting profilometry (PSP), [3][4][5] modulation measurement profilometry, 6 spatial phase detection, 7,8 phase lock loop profilometry, 9 Moire technique, 10 laser triangulation measurement, 11 color-coded fringe projection, [12][13][14] and other methods. 15,16 Among these existing approaches, FTP and PSP are the most popular and widely used.…”

Section: Introductionmentioning

confidence: 99%

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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“…These deformed patterns carry the information of surface shape, and hence can be used to retrieve the profile of the object. Many approaches have been developed during the past decades for FPP, e.g., Fourier transform profilometry (FTP) [2], phase shifting profilometry (PSP) [3][4][5], modulation measurement profilometry (MMP) [6], spatial phase detection (SPD) [7,8], phase lock loop (PLL) profilometry [9], Moiré technique (MT) [10], laser triangulation measurement [11], color-coded fringe projection [12][13][14] and other methods [15,16]. Among these approaches, the most widely used are those based on analysis of the phase maps of the fringe patterns, such as FTP and PSP.…”

Section: Introductionmentioning

confidence: 99%

3D shape measurement based on projection of triangular patterns of two selected frequencies

Cao

et al. 2014

Opt. Express

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In this paper, a temporal shift unwrapping technique is presented for solving the problem of shift wrapping associated with spatial shift estimation (SSE)-based fringe pattern profilometry (FPP). Based on this technique, a novel 3D shape measurement method is proposed, where triangular patterns of two different spatial frequencies are projected. The patterns of the higher frequency are used to implement the FPP, and the one with lower frequency is utilized to achieve shift unwrapping. The proposed method is able to solve the shift unwrapping problem associated with the existing multi-step triangular pattern FPP by projection of an additional fringe pattern. The effectiveness of the proposed method is verified by experimental results, where the same accuracy as existing multi-step triangular pattern FPP can be achieved, but enabling the measurement of objects with complex surface shape and high steps. Disciplines Engineering | Science and Technology Studies Abstract:In this paper, a temporal shift unwrapping technique is presented for solving the problem of shift wrapping associated with spatial shift estimation (SSE)-based fringe pattern profilometry (FPP). Based on this technique, a novel 3D shape measurement method is proposed, where triangular patterns of two different spatial frequencies are projected. The patterns of the higher frequency are used to implement the FPP, and the one with lower frequency is utilized to achieve shift unwrapping. The proposed method is able to solve the shift unwrapping problem associated with the existing multi-step triangular pattern FPP by projection of an additional fringe pattern. The effectiveness of the proposed method is verified by experimental results, where the same accuracy as existing multi-step triangular pattern FPP can be achieved, but enabling the measurement of objects with complex surface shape and high steps. 21739-21747 (2011). 6. X. Su, L. Su, W. Li, and L. Xiang, "New 3D profilometry based on modulation measurement," Proc. SPIE 3853, 1-7 (1998). 7. S. Toyooka and M. Tominga, "Spatial fringe scanning for optical phase measurement," Opt. Commun. 51(2), 68-70 (1984). 8. S. Toyooka and Y. Iwaasa, "Automatic profilometry of 3-D diffuse objects by spatial phase detection," Appl.Opt. 25(10), 1630-1633 (1986). 9. R. Rodríguez-Vera and M. Servin, "Phase locked loop profilometry," Opt. Laser Technol. 26(6), 393-398 (1994). 10. D. M. Meadows, W. O. Johnson, and J. B. Allen, "Generation of surface contours by moiré patterns," Appl. Opt. 9(4), 942-947 (1970). 11. A. Asundi and Z. Wensen, "Unified calibration technique and its applications in optical triangular profilometry," Appl. Opt. 38(16), 3556-3561 (1999). 12. P. Huang, Q. Ho, F. Jin, and F. Chiang, "Colour-enhanced digital fringe projection technique for high-speed 3-D surface contouring," Opt. Eng. 38(6), 1065-1071 (1999). 13. Z. Zhang, C. E. Towers, and D. P. Towers, "Robust color and shape measurement of full color artifacts by RGB fringe projection," Opt. Eng. 51(2), 021109 (2012). 14. J. Guo, X. Pen...

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Optical three-dimensional sensing by phase measuring profilometry

Cited by 140 publications

References 39 publications

A Variational Study on BRDF Reconstruction in a Structured Light Scanner

A Variational Study on BRDF Reconstruction in a Structured Light Scanner

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

3D shape measurement based on projection of triangular patterns of two selected frequencies

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