• Infrared and Laser Engineering
  • Vol. 49, Issue 3, 0303001 (2020)
Chao Zuo1、2, Xiaolei Zhang3, Yan Hu1、2、3, Wei Yin1、2、3, Detong Shen3, Jinxin Zhong1、2、3, Jing Zheng3, and Qian Chen2
Author Affiliations
  • 1Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
  • 2Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing 210094, China
  • 3Nanjing Zircon optoelectronic technology co. LTD, Nanjing 210014, China
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    DOI: 10.3788/IRLA202049.0303001 Cite this Article
    Chao Zuo, Xiaolei Zhang, Yan Hu, Wei Yin, Detong Shen, Jinxin Zhong, Jing Zheng, Qian Chen. Has 3D finally come of age? ——An introduction to 3D structured-light sensor[J]. Infrared and Laser Engineering, 2020, 49(3): 0303001 Copy Citation Text show less
    References

    [3] R J Woodham. Photometric method for determining surface orientation from multiple images. Optical Engineering, 19, 191139(1980).

    [4] P H Christensen, L G Shapiro. Three-dimensional shape from color photometric stereo. International Journal of Computer Vision, 13, 213-227(1994).

    [5] H Deresiewicz, R Skalak. On uniqueness in dynamic poroelasticity. Bulletin of the Seismological Society of America, 53, 783-788(1963).

    [6] Jr E N Coleman, R Jain. Obtaining 3-dimensional shape of textured and specular surfaces using four-source photometry. Computer Graphics and Image Processing, 18, 309-328(1982).

    [7] Park J S, Tou J T. Highlight separation surface ientations f 3D specular objects[C]10th International Conference on Pattern Recognition. IEEE, 1990, 1: 331–335.

    [8] K Ikeuchi. Determining surface orientations of specular surfaces by using the photometric stereo method. IEEE Transactions on Pattern Analysis and Machine Intelligence, 661-669(1981).

    [9] Wu T P, Tang C K. Dense photometric stereo using a mirr sphere graph cut[C] 2005 IEEE Computer Society Conference on Computer Vision Pattern Recognition (CVPR’05), 2005, 1: 140–147.

    [10] M G Mozerov, de Weijer J van. Accurate stereo matching by two-step energy minimization. IEEE Transactions on Image Processing, 24, 1153-1163(2015).

    [11] Geiger A, Roser M, Urtasun R. Efficient largescale stereo matching[C]Asian Conference on Computer Vision, 2010: 25–38.

    [12] Tan X, Sun C, Wang D, et al. Soft cost aggregation with multiresolution fusion[C]European Conference on Computer Vision, 2014: 17–32.

    [13] Yang Q, Yang R, Davis J, et al. Spatialdepth super resolution f range images[C] 2007 IEEE Conference on Computer Vision Pattern Recognition, 2007: 1–8.

    [14] K J Yoon, I S Kweon. Adaptive support-weight approach for correspondence search. IEEE Transactions on Pattern Analysis & Machine Intelligence, 650-656(2006).

    [15] A Hosni, C Rhemann, M Bleyer. Fast cost-volume filtering for visual correspondence and beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 504-511(2012).

    [16] Q Yang, L Wang, R Yang. Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, 492-504(2008).

    [17] Klaus A, Smann M, Karner K. Segmentbased stereo matching using belief propagation a selfadapting dissimilarity measure[C]18th International Conference on Pattern Recognition (ICPR’06), 2006, 3: 15–18.

    [18] M Bertozzi, A Broggi. GOLD: A parallel real-time stereo vision system for generic obstacle and lane detection. IEEE Transactions on Image Processing, 7, 62-81(1998).

    [19] Loop C, Zhang Z. Computing rectifying homographies f stereo vision[C]1999 IEEE Computer Society Conference on Computer Vision Pattern Recognition (Cat. No PR00149), 1999, 1: 125–131.

    [20] Gehrig S K, Eberli F, Meyer T. A realtime lowpower stereo vision engine using semiglobal matching[C]International Conference on Computer Vision Systems, 2009: 134–143.

    [21] Drington A A, Kelly C D B, McClure S H, et al. Advantages of 3D timeofflight range imaging cameras in machine vision applications[C]16th New Zeal Conference (ENZCon), 2009: 18–20.

    [22] Ganapathi V, Plagemann C, Koller D, et al. Real time motion capture using a single timeofflight camera[C]2010 IEEE Computer Society Conference on Computer Vision Pattern Recognition, 2010: 755–762.

    [23] Hsu S, Aya S, Rafii A, et al. Advanced Microsystems f Automotive Applications 2006[M]. Berlin: Springer, 2006: 205–219.

    [24] H Shim, S Lee. Performance evaluation of time-of-flight and structured light depth sensors in radiometric/geometric variations. Optical Engineering, 51, 094401(2012).

    [25] Hahne U, Alexa M. Depth imaging by combining timeofflight ondem stereo[C]Wkshop on Dynamic 3D Imaging, 2009: 70–83.

    [26] Schuon S, Theobalt C, Davis J, et al. Highquality scanning using timeofflight depth superresolution[C]2008 IEEE Computer Society Conference on Computer Vision Pattern Recognition Wkshops, 2008: 1–7.

    [27] Y Cui, S Schuon, S Thrun. Algorithms for 3d shape scanning with a depth camera. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 1039-1050(2012).

    [28] Zhang Zuxun, Zhang Jianqing. Solutions ce techniques of city modeling[D]. Wuhan: Wuhan University, 2003. (in Chinese)

    [29] Wang Jizhou, Li Chengming, Lin Zongjian. A survey on the technology of three dimensional spatial data acquisition[D]. Beijing: Chinese Academy of Surveying Mapping, 2004. (in Chinese)

    [30] Lewen Yu, Da Zhang, Bin Yu. Research of 3D laser scanning measurement system for mining. Metal Mine, 436, 101-103(2012).

    [31] Gao Zhiguo. The research of terrestrial laser scanning data processing modeling[D]. Xi''an: Chang''an University, 2010. (in Chinese)

    [32] Fang Wei. Research on automatic texture mapping of terrestrial laser scanning data combining photogrammetry techniques[D]. Wuhan: Wuhan University. (in Chinese)

    [33] S K Nayar, M Watanabe, M Noguchi. Real-time focus range sensor. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 1186-1198(1996).

    [34] M Watanabe, S K Nayar. Rational filters for passive depth from defocus. International Journal of Computer Vision, 27, 203-225(1998).

    [35] L Kou, L Zhang, K Zhang. A multi-focus image fusion method via region mosaicking on Laplacian pyramids. PloS One, 13, e0191085(2018).

    [36] S W Bailey, J I Echevarria, B Bodenheimer. Fast depth from defocus from focal stacks. The Visual Computer, 31, 1697-1708(2015).

    [37] J Geng. Structured-light 3D surface imaging: a tutorial. Advances in Optics and Photonics, 3, 128-160(2011).

    [38] C Zuo, S Feng, L Huang. Phase shifting algorithms for fringe projection profilometry: A review. Optics and Lasers in Engineering, 109, 23-59(2018).

    [39] K L Boyer, A C Kak. Color-encoded structured light for rapid active ranging. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14-28(1987).

    [40] Zhang L, Curless B, Seitz S M. Rapid shape acquisition using col structured light multipass dynamic programming[C]First International Symposium on 3D Data Processing Visualization Transmission, 2002: 24–36.

    [41] J Pages, J Salvi, C Collewet. Optimised De Bruijn patterns for one-shot shape acquisition. Image and Vision Computing, 23, 707-720(2005).

    [42] M Ito, A Ishii. A three-level checkerboard pattern (TCP) projection method for curved surface measurement. Pattern Recognition, 28, 27-40(1995).

    [43] M Maruyama, S Abe. Range sensing by projecting multiple slits with random cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15, 647-651(1993).

    [44] Mita H, Yajima K, Sakata S. Reconstruction of surfaces of 3d objects by marray pattern projection method[C]Second International Conference on Computer Vision, 1988: 468–473.

    [45] J L Posdamer, M Altschuler. Surface measurement by space-encoded projected beam systems. Computer Graphics and Image Processing, 18, 1-17(1982).

    [46] D Caspi, N Kiryati, J Shamir. Range imaging with adaptive color structured light. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 470-480(1998).

    [47] G Sansoni, S Corini, S Lazzari. Three-dimensional imaging based on gray-code light projection: characterization of the measuring algorithm and development of a measuring system for industrial applications. Applied Optics, 36, 4463-4472(1997).

    [48] Z Zhang. Review of single-shot 3D shape measurement by phase calculation-based fringe projection techniques. Optics and Lasers in Engineering, 50, 1097-1106(2012).

    [49] Je C, Lee S W, Park RH. Highcontrast colstripe pattern f rapid structuredlight range imaging[C]European Conference on Computer Vision, 2004: 95–107.

    [50] Z J Geng. Rainbow three-dimensional camera: new concept of high-speed three-dimensional vision systems. Optical Engineering, 35, 376-384(1996).

    [51] J Salvi, J Pagès, J Batlle. Pattern codification strategies in structured light systems. Pattern Recognition, 37, 827-849(2004).

    [52] S S Gorthi, P Rastogi. Fringe projection techniques: Whither we are?. Optics & Lasers in Engineering, 48, 133-140(2010).

    [53] C Reich, R Ritter, J Thesing. 3-D shape measurement of complex objects by combining photogrammetry and fringe projection. Optical Engineering, 39, 224-232(2000).

    [54] P S Huang, C Zhang, F-P Chiang. High-speed 3-D shape measurement based on digital fringe projection. Optical Engineering, 42, 163-169(2003).

    [55] B Pan, Q Kemao, L Huang. Phase error analysis and compensation for nonsinusoidal waveforms in phase-shifting digital fringe projection profilometry. Optics Letters, 34, 416-418(2009).

    [56] C Quan, X He, C Wang. Shape measurement of small objects using LCD fringe projection with phase shifting. Optics Communications, 189, 21-29(2001).

    [57] Z Zhang, C E Towers, D P Towers. Time efficient color fringe projection system for 3D shape and color using optimum 3-frequency Selection. Optics Express, 14, 6444-6455(2006).

    [58] Z Wang, D A Nguyen, J C Barnes. Some practical considerations in fringe projection profilometry. Optics & Lasers in Engineering, 48, 218-225(2010).

    [59] J Pan, P S Huang, F-P Chiang. Color-coded binary fringe projection technique for 3-D shape measurement. Optical Engineering, 44, 023606(2005).

    [60] Kühmstedt P, Munckelt C, Heinze M, et al. 3D shape measurement with phase crelation based fringe projection[C]SPIE, 2007, 6616: 66160B.

    [61] H C Liu, M Halioua, V Srinivasan. Automated phase-measuring profilometry of 3-D diffuse objects. Applied Optics, 23, 3105(1984).

    [62] M Takeda, H Ina, S Kobayashi. Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry. JOSA, 72, 156-160(1982).

    [63] X Su, W Chen. Fourier transform profilometry: a review. Optics and Lasers in Engineering, 35, 263-284(2001).

    [64] X Su, Q Zhang. Dynamic 3-D shape measurement method: A review. Optics and Lasers in Engineering, 48, 191-204(2010).

    [65] Q Kemao. Two-dimensional windowed Fourier transform for fringe pattern analysis: principles, applications and implementations. Optics and Lasers in Engineering, 45, 304-317(2007).

    [66] Q Kemao. Windowed Fourier transform for fringe pattern analysis. Applied Optics, 43, 2695-2702(2004).

    [67] J Zhong, J Weng. Spatial carrier-fringe pattern analysis by means of wavelet transform: wavelet transform profilometry. Applied Optics, 43, 4993-4998(2004).

    [68] Malacara D. Optical Shop Testing[M]. New Yk: John Wiley & Sons, 2007.

    [69] J H Bruning, D R Herriott, J Gallagher. Digital wavefront measuring interferometer for testing optical surfaces and lenses. Applied Optics, 13, 2693-2703(1974).

    [70] X Y Su, G V Bally, D Vukicevic. Phase-stepping grating profilometry: utilization of intensity modulation analysis in complex objects evaluation. Optics Communications, 98, 141-150(1993).

    [71] J Li, L G Hassebrook, C Guan. Optimized two-frequency phase-measuring-profilometry light-sensor temporal-noise sensitivity. Journal of the Optical Society of America A, 20, 106-15(2003).

    [72] S Zhang. Recent progresses on real-time 3D shape measurement using digital fringe projection techniques. Optics and Lasers in Engineering, 48, 149-158(2010).

    [73] der Jeught S Van, J J Dirckx. Real-time structured light profilometry: a review. Optics and Lasers in Engineering, 87, 18-31(2016).

    [74] X Su, W Chen. Reliability-guided phase unwrapping algorithm: a review. Optics and Lasers in Engineering, 42, 245-261(2004).

    [75] B Gutmann, H Weber. Phase unwrapping with the branch-cut method: role of phase-field direction. Applied Optics, 39, 4802-4816(2000).

    [76] E Zappa, G Busca. Comparison of eight unwrapping algorithms applied to Fourier-transform profilometry. Optics and Lasers in Engineering, 46, 106-116(2008).

    [77] D C Ghiglia, L A Romero. Minimum Lp-norm two-dimensional phase unwrapping. JOSA A, 13, 1999-2013(1996).

    [78] E Trouve, J-M Nicolas, H Maitre. Improving phase unwrapping techniques by the use of local frequency estimates. IEEE Transactions on Geoscience and Remote Sensing, 36, 1963-1972(1998).

    [79] H A Zebker, Y Lu. Phase unwrapping algorithms for radar interferometry: residue-cut, least-squares, and synthesis algorithms. JOSA A, 15, 586-598(1998).

    [80] J M Huntley, H Saldner. Temporal phase-unwrapping algorithm for automated interferogram analysis. Applied Optics, 32, 3047-3052(1993).

    [81] V Gushov, Y N Solodkin. Automatic processing of fringe patterns in integer interferometers. Optics and Lasers in Engineering, 14, 311-324(1991).

    [82] G Sansoni, M Carocci, R Rodella. Three-dimensional vision based on a combination of gray-code and phase-shift light projection: analysis and compensation of the systematic errors. Appl Opt, 38, 6565-6573(1999).

    [83] H Zhao, W Chen, Y Tan. Phase-unwrapping algorithm for the measurement of three-dimensional object shapes. Applied Optics, 33, 4497-4500(1994).

    [84] Y-Y Cheng, J C Wyant. Two-wavelength phase shifting interferometry. Applied Optics, 23, 4539-4543(1984).

    [85] K Creath, Y Y Cheng, J C Wyant. Contouring aspheric surfaces using two-wavelength phase-shifting interferometry. Optica Acta: International Journal of Optics, 32, 1455-1464(1985).

    [86] Burke J, Bothe T, Osten W, et al. Reverse engineering by fringe projection[C] SPIE, 2002, 4778: 312–325.

    [87] Y Ding, J Xi, Y Yu. Recovering the absolute phase maps of two fringe patterns with selected frequencies. Optics Letters, 36, 2518-2520(2011).

    [88] K Falaggis, D P Towers, C E Towers. Algebraic solution for phase unwrapping problems in multiwavelength interferometry. Applied Optics, 53, 3737-3747(2014).

    [89] T Petković, T Pribanić, M Jonlić. Temporal phase unwrapping using orthographic projection. Optics and Lasers in Engineering, 90, 34-47(2017).

    [90] S Xing, H Guo. Temporal phase unwrapping for fringe projection profilometry aided by recursion of Chebyshev polynomials. Applied Optics, 56, 1591-1602(2017).

    [91] Z Li, Y Shi, C Wang. Accurate calibration method for a structured light system. Optical Engineering, 47, 053604(2008).

    [92] H O Saldner, J M Huntley. Temporal phase unwrapping: application to surface profiling of discontinuous objects. Applied Optics, 36, 2770-2775(1997).

    [93] R A Martinez-Celorio, A Davila, G H Kaufmann. Extension of the displacement measurement range for electronic speckle-shearing pattern interferometry using carrier fringes and a temporal-phase-unwrapping method. Optical Engineering, 39, 751-758(2000).

    [94] L Huang, A K Asundi. Phase invalidity identification framework with the temporal phase unwrapping method. Measurement Science and Technology, 22, 035304(2011).

    [95] J Tian, X Peng, X Zhao. A generalized temporal phase unwrapping algorithm for three-dimensional profilometry. Optics and Lasers in Engineering, 46, 336-342(2008).

    [96] G Pedrini, I Alexeenko, W Osten. Temporal phase unwrapping of digital hologram sequences. Applied Optics, 42, 5846-5854(2003).

    [97] C Zuo, L Huang, M Zhang. Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review. Optics and Lasers in Engineering, 85, 84-103(2016).

    [100] Kinect[J]. Wikipedia, 2019.

    [114] Snavely N, Seitz S M, Szeliski R. Photo tourism: expling photo collections in 3D[C]ACM SIGGRAPH 2006 Proceedings, Association f Computing Machinery, 2006: 835846.

    [115] N Snavely, S M Seitz, R Szeliski. Modeling the world from internet photo collections. International Journal of Computer Vision, 80, 189-210(2008).

    [116] M J Westoby, J Brasington, N F Glasser. 'Structure-from-Motion' photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, 179, 300-314(2012).

    [119] X Y Su, W S Zhou, Bally G von. Automated phase-measuring profilometry using defocused projection of a Ronchi grating. Optics Communications, 94, 561-573(1992).

    [120] M Beck, D Hofstetter, T Aellen. Continuous wave operation of a mid-infrared semiconductor laser at room temperature. Science, 295, 301-305(2002).

    [121] OSA | Recent Advances of VCSEL Photonics[EBOL]. [20200108]. https:www.osapublishing.gjltabstract.cfmuri=jlt24124502.

    [122] G J Swanson, W B Veldkamp. Diffractive optical elements for use in infrared systems. Optical Engineering, 28, 286605(1989).

    [123] F Wyrowski. Diffractive optical elements: iterative calculation of quantized, blazed phase structures. JOSA A, 7, 961-969(1990).

    [124] Wiedenmann D, Grabherr M, Jäger R, et al. High volume production of singlemode VCSELs[C]SPIE, 2006, 6132: 613202.

    [125] VCSEL amplifier dot project with foldedpath slowlight waveguide f 3D depth sensing[EBOL]. [20200108]. https:ieeexple.ieee.gabstractdocument8516183.

    [126] Minaga M, Gu X, Shimura K, et al. Compact dot project based on folded path VCSEL amplifier f structured light sensing[C]Conference on Lasers ElectroOptics (2019), Optical Society of America, 2019: SM4N. 4.

    [129] Durdle N G, Thayyo J, Raso V J. An improved structured light technique f surface reconstruction of the human trunk[C]Conference Proceedings. IEEE Canadian Conference on Electrical Computer Engineering (Cat. No. 98TH8341), 1998, 2: 874–877.

    [130] C S Chen, Y P Hung, C C Chiang. Range data acquisition using color structured lighting and stereo vision. Image and Vision Computing, 15, 445-456(1997).

    [131] F J MacWilliams, N J A Sloane. Pseudo-random sequences and arrays. Proceedings of the IEEE, 64, 1715-1729(1976).

    [132] J Salvi, J Batlle, E Mouaddib. A robust-coded pattern projection for dynamic 3D scene measurement. Pattern Recognition Letters, 19, 1055-1065(1998).

    [133] B Pan, K Qian, H Xie. Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review. Measurement Science and Technology, 20, 062001(2009).

    [134] Mei X, Sun X, Zhou M, et al. On building an accurate stereo matching system on graphics hardware[C] 2011 IEEE International Conference on Computer Vision Wkshops (ICCV Wkshops), 2011: 467–474.

    [135] Ke Zhang, Jiangbo Lu, G Lafruit. Cross-based local stereo matching using orthogonal integral images. IEEE Transactions on Circuits and Systems for Video Technology, 19, 1073-1079(2009).

    [136] Hirschmuller H. Accurate efficient stereo processing by semiglobal matching mutual infmation[C]2005 IEEE Computer Society Conference on Computer Vision Pattern Recognition (CVPR’05), 2005, 2: 807–814.

    [137] P Zhou, J Zhu, H Jing. Optical 3-D surface reconstruction with color binary speckle pattern encoding. Optics Express, 26, 3452(2018).

    [138] B Pan, H Xie, Z Wang. Study on subset size selection in digital image correlation for speckle patterns. Optics Express, 16, 7037(2008).

    [139] Y Boykov, O Veksler, R Zabih. Fast approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23, 1222-1239(2001).

    [140] J Sun, N N Zheng, H Y Shum. Stereo matching using belief propagation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, 14(2003).

    [141] Jae Chul Kim, Kyoung Mu Lee, Byoung Tae Choi, et al. A dense stereo matching using twopass dynamic programming with generalized ground control points[C]2005 IEEE Computer Society Conference on Computer Vision Pattern Recognition (CVPR’05), 2005, 2: 1075–1082.

    [142] Fstmann S, Kanou Y, Jun Ohya, et al. Realtime stereo by using dynamic programming[C] 2004 Conference on Computer Vision Pattern Recognition Wkshop, IEEE, 2004: 29–29.

    [157] K Liu, Y Wang, D L Lau. Dual-frequency pattern scheme for high-speed 3-D shape measurement. Optics Express, 18, 5229-5244(2010).

    [158] C Zuo, Q Chen, G Gu. High-speed three-dimensional profilometry for multiple objects with complex shapes. Optics Express, 20, 19493-19510(2012).

    [159] Weise T, Leibe B, Van Gool L. Fast 3D Scanning with automatic motion compensation[C]Computer Vision Pattern Recognition, 2007. CVPR ’07. IEEE Conference on, 2007: 1–8.

    [160] Z Li, K Zhong, Y F Li. Multiview phase shifting: a full-resolution and high-speed 3D measurement framework for arbitrary shape dynamic objects. Optics Letters, 38, 1389-1391(2013).

    [161] T Tao, Q Chen, J Da. Real-time 3-D shape measurement with composite phase-shifting fringes and multi-view system. Optics Express, 24, 20253-20269(2016).

    [162] J Qian, T Tao, S Feng. Motion-artifact-free dynamic 3D shape measurement with hybrid Fourier-transform phase-shifting profilometry. Optics Express, 27, 2713(2019).

    [163] T Tao, Q Chen, S Feng. High-precision real-time 3D shape measurement based on a quad-camera system. Journal of Optics, 20, 014009(2018).

    [164] Z Liu, P C Zibley, S Zhang. Motion-induced error compensation for phase shifting profilometry. Optics Express, 26, 12632-12637(2018).

    [165] S Feng, C Zuo, T Tao. Robust dynamic 3-D measurements with motion-compensated phase-shifting profilometry. Optics and Lasers in Engineering, 103, 127-138(2018).

    [166] Y Zhang, Z Xiong, Z Yang. Real-time scalable depth sensing with hybrid structured light illumination. IEEE Transactions on Image Processing, 23, 97-109(2013).

    [167] B Li, Z Liu, S Zhang. Motion-induced error reduction by combining Fourier transform profilometry with phase-shifting profilometry. Optics Express, 24, 23289(2016).

    [168] X Liu, X Peng, H Chen. Strategy for automatic and complete three-dimensional optical digitization. Optics Letters, 37, 3126(2012).

    [169] L Song, Y Ru, Y Yang. Full-view three-dimensional measurement of complex surfaces. Optical Engineering, 57, 1(2018).

    [170] M Nießner, M Zollhöfer, S Izadi. Real-time 3D reconstruction at scale using voxel hashing. ACM Transactions on Graphics, 32, 1-11(2013).

    [171] Epstein E, GrangerPiche M, Poulin P. Exploiting mirrs in interactive reconstruction with structured light[C]Vision, Modeling, Visualization, 2004: 125132.

    [172] D Lanman, D Crispell, G Taubin. Surround structured lighting: 3-D scanning with orthographic illumination. Computer Vision and Image Understanding, 113, 1107-1117(2009).

    [173] B Chen, B Pan. Mirror-assisted panoramic-digital image correlation for full-surface 360-deg deformation measurement. Measurement, 132, 350-358(2019).

    [174] D Holz, A E Ichim, F Tombari. Registration with the point cloud library: A modular framework for aligning in 3-D. IEEE Robotics & Automation Magazine, 22, 110-124(2015).

    [175] H Mohammadzade, D Hatzinakos. Iterative closest normal point for 3D face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 381-397(2013).

    [176] J Qian, S Feng, T Tao. High-resolution real-time 360° 3D model reconstruction of a handheld object with fringe projection profilometry. Optics Letters, 44, 5751(2019).

    [177] G L Mariottini, S Scheggi, F Morbidi. Planar mirrors for image-based robot localization and 3-D reconstruction. Mechatronics, 22, 398-409(2012).

    [178] P Wang, J Wang, J Xu. Calibration method for a large-scale structured light measurement system. Applied Optics, 56, 3995(2017).

    [179] W Yin, S Feng, T Tao. Calibration method for panoramic 3D shape measurement with plane mirrors. Optics Express, 27, 36538(2019).

    [180] S Feng, Q Chen, C Zuo. Automatic identification and removal of outliers for high-speed fringe projection profilometry. Optical Engineering, 52, 013605-013605(2013).

    [181] J Lu, R Mo, H Sun. Invalid phase values removal method for absolute phase recovery. Applied Optics, 55, 387-394(2016).

    [182] J Lu, R Mo, H Sun. Simplified absolute phase retrieval of dual-frequency fringe patterns in fringe projection profilometry. Optics Communications, 364, 101-109(2016).

    [183] H Wang, Q Kemao, S H Soon. Valid point detection in fringe projection profilometry. Optics Express, 23, 7535-7549(2015).

    [184] S T Yau. High dynamic range scanning technique. Optical Engineering, 48, 033604(2009).

    [185] Z Qi, Z Wang, J Huang. Improving the quality of stripes in structured-light three-dimensional profile measurement. Optical Engineering, 56, 031208(2016).

    [186] Y Long, S Wang, W Wu. Accurate identification of saturated pixels for high dynamic range measurement. Optical Engineering, 54, 043106(2015).

    [187] Zhang B, Ouyang Y, Zhang S. High dynamic range saturation intelligence avoidance f threedimensional shape measurement[C]IEEE, 2015: 981–990.

    [188] L Ekstrand. Autoexposure for three-dimensional shape measurement using a digital-light-processing projector. Optical Engineering, 50, 123603(2011).

    [189] K Zhong, Z Li, X Zhou. Enhanced phase measurement profilometry for industrial 3D inspection automation. The International Journal of Advanced Manufacturing Technology, 76, 1563-1574(2015).

    [190] L Rao, F Da. High dynamic range 3D shape determination based on automatic exposure selection. Journal of Visual Communication and Image Representation, 50, 217-226(2018).

    [191] Z Song, H Jiang, H Lin. A high dynamic range structured light means for the 3D measurement of specular surface. Optics and Lasers in Engineering, 95, 8-16(2017).

    [192] S Feng, Q Chen, C Zuo. Fast three-dimensional measurements for dynamic scenes with shiny surfaces. Optics Communications, 382, 18-27(2017).

    [193] Waddington C, Kofman J. Saturation avoidance by adaptive fringe projection in phaseshifting 3D surfaceshape measurement[C] IEEE, 2010: 1–4.

    [194] C Waddington, J Kofman. Modified sinusoidal fringe-pattern projection for variable illuminance in phase-shifting three-dimensional surface-shape metrology. Optical Engineering, 53, 084109(2014).

    [195] L Zhang, Q Chen, C Zuo. High dynamic range 3D shape measurement based on the intensity response function of a camera. Applied Optics, 57, 1378(2018).

    [196] D Li, J Kofman. Adaptive fringe-pattern projection for image saturation avoidance in 3D surface-shape measurement. Optics Express, 22, 9887(2014).

    [197] C Chen, N Gao, X Wang. Adaptive pixel-to-pixel projection intensity adjustment for measuring a shiny surface using orthogonal color fringe pattern projection. Measurement Science and Technology, 29, 055203(2018).

    [198] H Lin, J Gao, Q Mei. Adaptive digital fringe projection technique for high dynamic range three-dimensional shape measurement. Optics Express, 24, 7703(2016).

    [199] H Lin, J Gao, Q Mei. Three-dimensional shape measurement technique for shiny surfaces by adaptive pixel-wise projection intensity adjustment. Optics and Lasers in Engineering, 91, 206-215(2017).

    [200] S Chen, R Xia, J Zhao. Analysis and reduction of phase errors caused by nonuniform surface reflectivity in a phase-shifting measurement system. Optical Engineering, 56, 033102(2017).

    [201] G Babaie, M Abolbashari, F Farahi. Dynamics range enhancement in digital fringe projection technique. Precision Engineering, 39, 243-251(2015).

    [202] H Sheng, J Xu, S Zhang. Dynamic projection theory for fringe projection profilometry. Applied Optics, 56, 8452(2017).

    [203] Z Qi, Z Wang. Highlight removal based on the regional-projection fringe projection method. Optical Engineering, 57, 1(2018).

    [204] S Ri, M Fujigaki, Y Morimoto. Intensity range extension method for three-dimensional shape measurement in phase-measuring profilometry using a digital micromirror device camera. Applied Optics, 47, 5400(2008).

    [205] Chen T, Lensch H P A, Fuchs C, et al. Polarization phaseshifting f 3D scanning of translucent objects[C] IEEE, 2007: 1–8.

    [206] B Salahieh, Z Chen, J J Rodriguez. Multi-polarization fringe projection imaging for high dynamic range objects. Optics Express, 22, 10064(2014).

    [207] Cai Z, Liu X, Peng X, et al. Structured light field 3D imaging[J]. Optics Express, 2016, 24(18): 2032420334.

    [208] S Feng, Y Zhang, Q Chen. General solution for high dynamic range three-dimensional shape measurement using the fringe projection technique. Optics and Lasers in Engineering, 59, 56-71(2014).

    [209] G Liu, X Y Liu, Q Y Feng. 3D shape measurement of objects with high dynamic range of surface reflectivity. Applied Optics, 50, 4557(2011).

    [210] H Jiang, H Zhao, X Li. High dynamic range fringe acquisition: A novel 3-D scanning technique for high-reflective surfaces. Optics and Lasers in Engineering, 50, 1484-1493(2012).

    [211] H Zhao, X Liang, X Diao. Rapid in-situ 3D measurement of shiny object based on fast and high dynamic range digital fringe projector. Optics and Lasers in Engineering, 54, 170-174(2014).

    [212] Y Yin, Z Cai, H Jiang. High dynamic range imaging for fringe projection profilometry with single-shot raw data of the color camera. Optics and Lasers in Engineering, 89, 138-144(2017).

    [213] C Jiang, T Bell, S Zhang. High dynamic range real-time 3D shape measurement. Optics Express, 24, 7337(2016).

    [214] M Wang, G Du, C Zhou. Enhanced high dynamic range 3D shape measurement based on generalized phase-shifting algorithm. Optics Communications, 385, 43-53(2017).

    [215] Y Chen, Y He, E Hu. Phase deviation analysis and phase retrieval for partial intensity saturation in phase-shifting projected fringe profilometry. Optics Communications, 281, 3087-3090(2008).

    [216] E Hu, Y He, Y Chen. Study on a novel phase-recovering algorithm for partial intensity saturation in digital projection grating phase-shifting profilometry. Optik-International Journal for Light and Electron Optics, 121, 23-28(2010).

    [217] B Chen, S Zhang. High-quality 3D shape measurement using saturated fringe patterns. Optics and Lasers in Engineering, 87, 83-89(2016).

    [218] Z Qi, Z Wang, J Huang. Error of image saturation in the structured-light method. Applied Optics, 57, A181-A188(2018).

    [220] S Feng, L Zhang, C Zuo. High dynamic range 3D measurements with fringe projection profilometry: a review. Measurement Science and Technology, 29, 122001(2018).

    [221] S Feng, Q Chen, G Gu. Fringe pattern analysis using deep learning. Advanced Photonics, 1, 025001(2019).

    [222] S Feng, C Zuo, W Yin. Micro deep learning profilometry for high-speed 3D surface imaging. Optics and Lasers in Engineering, 121, 416-427(2019).

    [223] S Lei, S Zhang. Flexible 3-D shape measurement using projector defocusing. Optics Letters, 34, 3080-3082(2009).

    [224] G A Ayubi, J A Ayubi, Martino J M Di. Pulse-width modulation in defocused three-dimensional fringe projection. Optics Letters, 35, 3682-3684(2010).

    [225] C Zuo, Q Chen, S Feng. Optimized pulse width modulation pattern strategy for three-dimensional profilometry with projector defocusing. Applied Optics, 51, 4477-4490(2012).

    [226] C Zuo, Q Chen, G Gu. High-speed three-dimensional shape measurement for dynamic scenes using bi-frequency tripolar pulse-width-modulation fringe projection. Optics and Lasers in Engineering, 51, 953-960(2013).

    [227] Y Wang, S Zhang. Superfast multifrequency phase-shifting technique with optimal pulse width modulation. Optics Express, 19, 5149-5155(2011).

    [228] Y Wang, S Zhang. Three-dimensional shape measurement with binary dithered patterns. Applied Optics, 51, 6631-6636(2012).

    [229] J Dai, S Zhang. Phase-optimized dithering technique for high-quality 3D shape measurement. Optics and Lasers in Engineering, 51, 790-795(2013).

    [230] J Dai, B Li, S Zhang. High-quality fringe pattern generation using binary pattern optimization through symmetry and periodicity. Optics and Lasers in Engineering, 52, 195-200(2014).

    [231] J Sun, C Zuo, S Feng. Improved intensity-optimized dithering technique for 3D shape measurement. Optics and Lasers in Engineering, 66, 158-164(2015).

    [232] J Dai, B Li, S Zhang. Intensity-optimized dithering technique for three-dimensional shape measurement with projector defocusing. Optics and Lasers in Engineering, 53, 79-85(2014).

    [233] S Zhang, D W D Van, J Oliver. Superfast phase-shifting method for 3-D shape measurement. Optics Express, 18, 9684(2010).

    [234] Y Gong, S Zhang. Ultrafast 3-D shape measurement with an off-the-shelf DLP projector. Optics Express, 18, 19743-19754(2010).

    [235] C Zuo, T Tao, S Feng. Micro Fourier Transform Profilometry (μ FTP): 3D shape measurement at 10, 000 frames per second. Optics and Lasers in Engineering, 102, 70-91(2018).

    [236] Q Zhang, X Su, Y Cao. Optical 3-D shape and deformation measurement of rotating blades using stroboscopic structured illumination. Optical Engineering, 44, 113601(2005).

    [237] M Schaffer, M Grosse, B Harendt. High-speed optical 3-d measurements for shape representation. Optics and Photonics News, 22, 49-49(2011).

    [238] M Schaffer, M Grosse, B Harendt. High-speed three-dimensional shape measurements of objects with laser speckles and acousto-optical deflection. Optics Letters, 36, 3097-3099(2011).

    [239] M Schaffer, M Grosse, B Harendt. Statistical patterns: an approach for high-speed and high-accuracy shape measurements. Optical Engineering, 53, 112205(2014).

    [240] M Grosse, M Schaffer, B Harendt. Fast data acquisition for three-dimensional shape measurement using fixed-pattern projection and temporal coding. Optical Engineering, 50, 100503(2011).

    [241] M Fujigaki, T Sakaguchi, Y Murata. Development of a compact 3D shape measurement unit using the light-source-stepping method. Optics and Lasers in Engineering, 85, 9-17(2016).

    [242] S Heist, A Mann, P Kühmstedt. Array projection of aperiodic sinusoidal fringes for high-speed three-dimensional shape measurement. Optical Engineering, 53, 112208(2014).

    [243] S Heist, P Lutzke, I Schmidt. High-speed three-dimensional shape measurement using GOBO projection. Optics and Lasers in Engineering, 87, 90-96(2016).

    [244] S Heist. 5D hyperspectral imaging: fast and accurate measurement of surface shape and spectral characteristics using structured light. Optics Express, 14(2018).

    [245] M Landmann, S Heist, P Dietrich. High-speed 3D thermography. Optics and Lasers in Engineering, 121, 448-455(2019).

    [246] M Zhang, Q Chen, T Tao. Robust and efficient multi-frequency temporal phase unwrapping: optimal fringe frequency and pattern sequence selection. Optics Express, 25, 20381(2017).

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