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

[12] [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] [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] [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] [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] [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] [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] [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] [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] [25] Hahne U, Alexa M. Depth imaging by combining timeofflight ondem stereo[C]Wkshop on Dynamic 3D Imaging, 2009: 70–83.

[26] [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] [28] Zhang Zuxun, Zhang Jianqing. Solutions ce techniques of city modeling[D]. Wuhan: Wuhan University, 2003. (in Chinese)

[29] [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] [31] Gao Zhiguo. The research of terrestrial laser scanning data processing modeling[D]. Xi''an: Chang''an University, 2010. (in Chinese)

[32] [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] [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] [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] [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] [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] [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] [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] [100] Kinect[J]. Wikipedia, 2019.

[114] [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] [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] [124] Wiedenmann D, Grabherr M, Jäger R, et al. High volume production of singlemode VCSELs[C]SPIE, 2006, 6132: 613202.

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

[126] [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] [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] [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] [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] [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] [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] [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] [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] [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] [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] [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] [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).