J. F. Dai, G. Chen, and S. Zhang, “Three-dimensional shape measurement with dual reference phase maps,” Opt. Eng. 53(1), 014102 (2014).

[Crossref]

J. H. Huang and Q. Y. Wu, “A new reconstruction method based on fringe projection of three-dimensional measuring system,” Opt. Lasers Eng. 52, 115–122 (2014).

[Crossref]

W. Lohry, V. Chen, and S. Zhang, “Absolute three-dimensional shape measurement using coded fringe patterns without phase unwrapping or projector calibration,” Opt. Express 22(2), 1287–1301 (2014).

[Crossref]
[PubMed]

Z. Zhang, S. Huang, S. Meng, F. Gao, and X. Jiang, “A simple, flexible and automatic 3D calibration method for a phase calculation-based fringe projection imaging system,” Opt. Express 21(10), 12218–12227 (2013).

[Crossref]
[PubMed]

J. Chen, X. J. Wu, M. Y. Wang, and X. F. Li, “3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithm,” Opt. Lasers Eng. 45, 414–423 (2013).

[Crossref]

I. Léandry, C. Brèque, and V. Vallea, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).

[Crossref]

Q. C. Zhang, X. Y. Su, L. Q. Xiang, and X. Z. Sun, “3-D shape measurement based on complementary Gray-code light,” Opt. Lasers Eng. 50(4), 574–579 (2012).

[Crossref]

I. Léandry, C. Brèque, and V. Valle, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).

[Crossref]

S. Zhang, “Recent progresses on real-time 3-D shape measurement using digital fringe projection techniques,” Opt. Lasers Eng. 48(2), 149–158 (2010).

[Crossref]

X. Y. Su and Q. C. Zhang, “Dynamic 3-D shape measurement method: A review,” Opt. Lasers Eng. 48(2), 191–204 (2010).

[Crossref]

S. Zhang, “Flexible 3D shape measurement using projector defocusing: extended measurement range,” Opt. Lett. 35(7), 934–936 (2010).

[Crossref]
[PubMed]

Y. Li, C. Zhao, Y. Qian, H. Wang, and H. Jin, “High-speed and dense three-dimensional surface acquisition using defocused binary patterns for spatially isolated objects,” Opt. Express 18(21), 21628–21635 (2010).

[Crossref]
[PubMed]

G. Sansoni, M. Trebeschi, and F. Docchio, “State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation,” Sensors (Basel) 9(1), 568–601 (2009).

[Crossref]
[PubMed]

W. Gao, L. Wang, and Z. Y. Hu, “Flexible Calibration of a Portable Structured Light System through Surface Plane,” Acta Automatica Sinica 34(11), 1358–1362 (2008).

[Crossref]

Y. Li and X. Y. Su, “New method for system calibration in phase measurement profilometry with large view field,” Acta Opt. Sin. 26(8), 1162–1166 (2006).

J. S. Park, “Interactive 3D reconstruction from multiple images: A primitive-based approach,” Pattern Recognit. Lett. 26(16), 2558–2571 (2005).

[Crossref]

Y. Q. Cheng, X. G. Wang, R. T. Collins, E. M. Riseman, and A. R. Hanson, “Three-dimensional reconstruction of points and lines with unknown correspondence across images,” Int. J. Comput. Vis. 45(2), 129–156 (2001).

[Crossref]

Q. Li and J. G. Griffiths, “Iterative closest geometric objects registration,” Comput. Math. Appl. 40(10), 1171–1188 (2000).

[Crossref]

T. A. Clarke and J. F. Fryer, “The development of camera calibration methods and models,” Photogramm. Rec. 16(91), 51–66 (1998).

[Crossref]

X. Y. Su, X. X. Chen, and L. R. Guo, “An automated method for 360° surface measurement of 3D objects,” Acta Opt. Sin. 9(7), 670–672 (1989).

R. Y. Tsai, “A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses,” IEEE J. Robot. Autom. RA-3(4), 323–344 (1987).

[Crossref]

G. Blais and M. D. Levine, “Registering Multiview Range Data to Create 3D Computer Objects,” in Proceedings of IEEE Transactions on Pattern Analysis and Maching Intelligence (IEEE, 1995), pp. 820–824.

[Crossref]

I. Léandry, C. Brèque, and V. Valle, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).

[Crossref]

I. Léandry, C. Brèque, and V. Vallea, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).

[Crossref]

J. F. Dai, G. Chen, and S. Zhang, “Three-dimensional shape measurement with dual reference phase maps,” Opt. Eng. 53(1), 014102 (2014).

[Crossref]

J. Chen, X. J. Wu, M. Y. Wang, and X. F. Li, “3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithm,” Opt. Lasers Eng. 45, 414–423 (2013).

[Crossref]

X. X. Chen, X. Y. Su, and L. R. Guo, “An automated method for 360°profilometry of 3-D diffuse objects,” Appl. Opt. 30(10), 1274–1278 (1991).

[Crossref]
[PubMed]

X. Y. Su, X. X. Chen, and L. R. Guo, “An automated method for 360° surface measurement of 3D objects,” Acta Opt. Sin. 9(7), 670–672 (1989).

Y. Chen and G. Medioni, “Object Modeling by Registration of Multiple Range Images,” inProceedings of IEEE International Conference on Robotics and Automation (IEEE, 1991), pp. 2724–2729.

[Crossref]

Y. Q. Cheng, X. G. Wang, R. T. Collins, E. M. Riseman, and A. R. Hanson, “Three-dimensional reconstruction of points and lines with unknown correspondence across images,” Int. J. Comput. Vis. 45(2), 129–156 (2001).

[Crossref]

T. A. Clarke and J. F. Fryer, “The development of camera calibration methods and models,” Photogramm. Rec. 16(91), 51–66 (1998).

[Crossref]

Y. Q. Cheng, X. G. Wang, R. T. Collins, E. M. Riseman, and A. R. Hanson, “Three-dimensional reconstruction of points and lines with unknown correspondence across images,” Int. J. Comput. Vis. 45(2), 129–156 (2001).

[Crossref]

J. F. Dai, G. Chen, and S. Zhang, “Three-dimensional shape measurement with dual reference phase maps,” Opt. Eng. 53(1), 014102 (2014).

[Crossref]

G. Sansoni, M. Trebeschi, and F. Docchio, “State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation,” Sensors (Basel) 9(1), 568–601 (2009).

[Crossref]
[PubMed]

T. A. Clarke and J. F. Fryer, “The development of camera calibration methods and models,” Photogramm. Rec. 16(91), 51–66 (1998).

[Crossref]

W. Gao, L. Wang, and Z. Y. Hu, “Flexible Calibration of a Portable Structured Light System through Surface Plane,” Acta Automatica Sinica 34(11), 1358–1362 (2008).

[Crossref]

Q. Li and J. G. Griffiths, “Iterative closest geometric objects registration,” Comput. Math. Appl. 40(10), 1171–1188 (2000).

[Crossref]

X. X. Chen, X. Y. Su, and L. R. Guo, “An automated method for 360°profilometry of 3-D diffuse objects,” Appl. Opt. 30(10), 1274–1278 (1991).

[Crossref]
[PubMed]

X. Y. Su, X. X. Chen, and L. R. Guo, “An automated method for 360° surface measurement of 3D objects,” Acta Opt. Sin. 9(7), 670–672 (1989).

Y. Q. Cheng, X. G. Wang, R. T. Collins, E. M. Riseman, and A. R. Hanson, “Three-dimensional reconstruction of points and lines with unknown correspondence across images,” Int. J. Comput. Vis. 45(2), 129–156 (2001).

[Crossref]

J. Heikkila and O. Silvén, “A four-step camera calibration procedure with implicit image correction,” inProceedings of IEEE Computer Vision and Pattern Recognition (IEEE, 1997), pp. 1106–1112.

[Crossref]

W. Gao, L. Wang, and Z. Y. Hu, “Flexible Calibration of a Portable Structured Light System through Surface Plane,” Acta Automatica Sinica 34(11), 1358–1362 (2008).

[Crossref]

J. H. Huang and Q. Y. Wu, “A new reconstruction method based on fringe projection of three-dimensional measuring system,” Opt. Lasers Eng. 52, 115–122 (2014).

[Crossref]

I. Léandry, C. Brèque, and V. Vallea, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).

[Crossref]

I. Léandry, C. Brèque, and V. Valle, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).

[Crossref]

G. Blais and M. D. Levine, “Registering Multiview Range Data to Create 3D Computer Objects,” in Proceedings of IEEE Transactions on Pattern Analysis and Maching Intelligence (IEEE, 1995), pp. 820–824.

[Crossref]

Q. Li and J. G. Griffiths, “Iterative closest geometric objects registration,” Comput. Math. Appl. 40(10), 1171–1188 (2000).

[Crossref]

J. Chen, X. J. Wu, M. Y. Wang, and X. F. Li, “3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithm,” Opt. Lasers Eng. 45, 414–423 (2013).

[Crossref]

Y. Li, C. Zhao, Y. Qian, H. Wang, and H. Jin, “High-speed and dense three-dimensional surface acquisition using defocused binary patterns for spatially isolated objects,” Opt. Express 18(21), 21628–21635 (2010).

[Crossref]
[PubMed]

Y. Li and X. Y. Su, “New method for system calibration in phase measurement profilometry with large view field,” Acta Opt. Sin. 26(8), 1162–1166 (2006).

Y. Chen and G. Medioni, “Object Modeling by Registration of Multiple Range Images,” inProceedings of IEEE International Conference on Robotics and Automation (IEEE, 1991), pp. 2724–2729.

[Crossref]

J. S. Park, “Interactive 3D reconstruction from multiple images: A primitive-based approach,” Pattern Recognit. Lett. 26(16), 2558–2571 (2005).

[Crossref]

Y. Q. Cheng, X. G. Wang, R. T. Collins, E. M. Riseman, and A. R. Hanson, “Three-dimensional reconstruction of points and lines with unknown correspondence across images,” Int. J. Comput. Vis. 45(2), 129–156 (2001).

[Crossref]

G. Sansoni, M. Trebeschi, and F. Docchio, “State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation,” Sensors (Basel) 9(1), 568–601 (2009).

[Crossref]
[PubMed]

J. Heikkila and O. Silvén, “A four-step camera calibration procedure with implicit image correction,” inProceedings of IEEE Computer Vision and Pattern Recognition (IEEE, 1997), pp. 1106–1112.

[Crossref]

Q. C. Zhang, X. Y. Su, L. Q. Xiang, and X. Z. Sun, “3-D shape measurement based on complementary Gray-code light,” Opt. Lasers Eng. 50(4), 574–579 (2012).

[Crossref]

X. Y. Su and Q. C. Zhang, “Dynamic 3-D shape measurement method: A review,” Opt. Lasers Eng. 48(2), 191–204 (2010).

[Crossref]

Y. Li and X. Y. Su, “New method for system calibration in phase measurement profilometry with large view field,” Acta Opt. Sin. 26(8), 1162–1166 (2006).

X. X. Chen, X. Y. Su, and L. R. Guo, “An automated method for 360°profilometry of 3-D diffuse objects,” Appl. Opt. 30(10), 1274–1278 (1991).

[Crossref]
[PubMed]

X. Y. Su, X. X. Chen, and L. R. Guo, “An automated method for 360° surface measurement of 3D objects,” Acta Opt. Sin. 9(7), 670–672 (1989).

Q. C. Zhang, X. Y. Su, L. Q. Xiang, and X. Z. Sun, “3-D shape measurement based on complementary Gray-code light,” Opt. Lasers Eng. 50(4), 574–579 (2012).

[Crossref]

G. Sansoni, M. Trebeschi, and F. Docchio, “State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation,” Sensors (Basel) 9(1), 568–601 (2009).

[Crossref]
[PubMed]

R. Y. Tsai, “A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses,” IEEE J. Robot. Autom. RA-3(4), 323–344 (1987).

[Crossref]

I. Léandry, C. Brèque, and V. Valle, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).

[Crossref]

I. Léandry, C. Brèque, and V. Vallea, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).

[Crossref]

W. Gao, L. Wang, and Z. Y. Hu, “Flexible Calibration of a Portable Structured Light System through Surface Plane,” Acta Automatica Sinica 34(11), 1358–1362 (2008).

[Crossref]

J. Chen, X. J. Wu, M. Y. Wang, and X. F. Li, “3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithm,” Opt. Lasers Eng. 45, 414–423 (2013).

[Crossref]

Y. Q. Cheng, X. G. Wang, R. T. Collins, E. M. Riseman, and A. R. Hanson, “Three-dimensional reconstruction of points and lines with unknown correspondence across images,” Int. J. Comput. Vis. 45(2), 129–156 (2001).

[Crossref]

J. H. Huang and Q. Y. Wu, “A new reconstruction method based on fringe projection of three-dimensional measuring system,” Opt. Lasers Eng. 52, 115–122 (2014).

[Crossref]

J. Chen, X. J. Wu, M. Y. Wang, and X. F. Li, “3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithm,” Opt. Lasers Eng. 45, 414–423 (2013).

[Crossref]

Q. C. Zhang, X. Y. Su, L. Q. Xiang, and X. Z. Sun, “3-D shape measurement based on complementary Gray-code light,” Opt. Lasers Eng. 50(4), 574–579 (2012).

[Crossref]

Q. C. Zhang, X. Y. Su, L. Q. Xiang, and X. Z. Sun, “3-D shape measurement based on complementary Gray-code light,” Opt. Lasers Eng. 50(4), 574–579 (2012).

[Crossref]

X. Y. Su and Q. C. Zhang, “Dynamic 3-D shape measurement method: A review,” Opt. Lasers Eng. 48(2), 191–204 (2010).

[Crossref]

J. F. Dai, G. Chen, and S. Zhang, “Three-dimensional shape measurement with dual reference phase maps,” Opt. Eng. 53(1), 014102 (2014).

[Crossref]

W. Lohry, V. Chen, and S. Zhang, “Absolute three-dimensional shape measurement using coded fringe patterns without phase unwrapping or projector calibration,” Opt. Express 22(2), 1287–1301 (2014).

[Crossref]
[PubMed]

S. Zhang, “Recent progresses on real-time 3-D shape measurement using digital fringe projection techniques,” Opt. Lasers Eng. 48(2), 149–158 (2010).

[Crossref]

S. Zhang, “Flexible 3D shape measurement using projector defocusing: extended measurement range,” Opt. Lett. 35(7), 934–936 (2010).

[Crossref]
[PubMed]

Z. Zhang, S. Huang, S. Meng, F. Gao, and X. Jiang, “A simple, flexible and automatic 3D calibration method for a phase calculation-based fringe projection imaging system,” Opt. Express 21(10), 12218–12227 (2013).

[Crossref]
[PubMed]

Z. Zhang, “A flexible new technique for camera calibration,” in Proceedings of IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE, 2000), pp. 1330–1334.

[Crossref]

W. Gao, L. Wang, and Z. Y. Hu, “Flexible Calibration of a Portable Structured Light System through Surface Plane,” Acta Automatica Sinica 34(11), 1358–1362 (2008).

[Crossref]

Y. Li and X. Y. Su, “New method for system calibration in phase measurement profilometry with large view field,” Acta Opt. Sin. 26(8), 1162–1166 (2006).

X. Y. Su, X. X. Chen, and L. R. Guo, “An automated method for 360° surface measurement of 3D objects,” Acta Opt. Sin. 9(7), 670–672 (1989).

Q. Li and J. G. Griffiths, “Iterative closest geometric objects registration,” Comput. Math. Appl. 40(10), 1171–1188 (2000).

[Crossref]

R. Y. Tsai, “A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses,” IEEE J. Robot. Autom. RA-3(4), 323–344 (1987).

[Crossref]

Y. Q. Cheng, X. G. Wang, R. T. Collins, E. M. Riseman, and A. R. Hanson, “Three-dimensional reconstruction of points and lines with unknown correspondence across images,” Int. J. Comput. Vis. 45(2), 129–156 (2001).

[Crossref]

J. F. Dai, G. Chen, and S. Zhang, “Three-dimensional shape measurement with dual reference phase maps,” Opt. Eng. 53(1), 014102 (2014).

[Crossref]

Y. Li, C. Zhao, Y. Qian, H. Wang, and H. Jin, “High-speed and dense three-dimensional surface acquisition using defocused binary patterns for spatially isolated objects,” Opt. Express 18(21), 21628–21635 (2010).

[Crossref]
[PubMed]

Z. Zhang, S. Huang, S. Meng, F. Gao, and X. Jiang, “A simple, flexible and automatic 3D calibration method for a phase calculation-based fringe projection imaging system,” Opt. Express 21(10), 12218–12227 (2013).

[Crossref]
[PubMed]

W. Lohry, V. Chen, and S. Zhang, “Absolute three-dimensional shape measurement using coded fringe patterns without phase unwrapping or projector calibration,” Opt. Express 22(2), 1287–1301 (2014).

[Crossref]
[PubMed]

I. Léandry, C. Brèque, and V. Valle, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).

[Crossref]

J. H. Huang and Q. Y. Wu, “A new reconstruction method based on fringe projection of three-dimensional measuring system,” Opt. Lasers Eng. 52, 115–122 (2014).

[Crossref]

S. Zhang, “Recent progresses on real-time 3-D shape measurement using digital fringe projection techniques,” Opt. Lasers Eng. 48(2), 149–158 (2010).

[Crossref]

X. Y. Su and Q. C. Zhang, “Dynamic 3-D shape measurement method: A review,” Opt. Lasers Eng. 48(2), 191–204 (2010).

[Crossref]

Q. C. Zhang, X. Y. Su, L. Q. Xiang, and X. Z. Sun, “3-D shape measurement based on complementary Gray-code light,” Opt. Lasers Eng. 50(4), 574–579 (2012).

[Crossref]

I. Léandry, C. Brèque, and V. Vallea, “Calibration of a structured-light projection system: Development to large dimension objects,” Opt. Lasers Eng. 50(3), 373–379 (2012).

[Crossref]

J. Chen, X. J. Wu, M. Y. Wang, and X. F. Li, “3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithm,” Opt. Lasers Eng. 45, 414–423 (2013).

[Crossref]

J. S. Park, “Interactive 3D reconstruction from multiple images: A primitive-based approach,” Pattern Recognit. Lett. 26(16), 2558–2571 (2005).

[Crossref]

T. A. Clarke and J. F. Fryer, “The development of camera calibration methods and models,” Photogramm. Rec. 16(91), 51–66 (1998).

[Crossref]

G. Sansoni, M. Trebeschi, and F. Docchio, “State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation,” Sensors (Basel) 9(1), 568–601 (2009).

[Crossref]
[PubMed]

Z. Zhang, “A flexible new technique for camera calibration,” in Proceedings of IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE, 2000), pp. 1330–1334.

[Crossref]

M. Zhang and L. Chen, “Research on a New Method for Dimension Measurement of Castings Based on 3D Reconstruction Technology with Marking Points,” in Proceedings of 69th World Foundry Congress, Hangzhou, (China, 2010), pp. 0959–0963.

G. Blais and M. D. Levine, “Registering Multiview Range Data to Create 3D Computer Objects,” in Proceedings of IEEE Transactions on Pattern Analysis and Maching Intelligence (IEEE, 1995), pp. 820–824.

[Crossref]

Y. Chen and G. Medioni, “Object Modeling by Registration of Multiple Range Images,” inProceedings of IEEE International Conference on Robotics and Automation (IEEE, 1991), pp. 2724–2729.

[Crossref]

K. Takaya, “Feature Point Correspondence of Stereo Images by Monogenic Phase,” in Proceedings of IEEE Communications, Computers and Signal (IEEE, 2007), pp. 272–275.

[Crossref]

J. Heikkila and O. Silvén, “A four-step camera calibration procedure with implicit image correction,” inProceedings of IEEE Computer Vision and Pattern Recognition (IEEE, 1997), pp. 1106–1112.

[Crossref]