Research and Implementation of Industrial Photogrammetry Without Coded Points

Jun Yan; Nan Ye; Tingcheng Li; Hongyu Zhu

doi:10.3788/AOS201939.1015002

[1] Huang G P[M]. Digital close range industry photogrammetry(2016).

[2] Hartley R, Zisserman A[M]. Multiple view geometry in computer vision(2003).

[3] Song L M, Chen C M, Chen Z et al. Detection and recognition of cyclic coded targets[J]. Optics and Precision Engineering, 21, 3239-3247(2013).

[4] Agarwal S, Furukawa Y, Snavley N et al. Reconstructing Rome[J]. Computer, 43, 40-47(2010).

[5] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004). http://doi.ieeecomputersociety.org/resolve?ref_id=doi:10.1023/B:VISI.0000029664.99615.94&rfr_id=trans/tp/2008/10/ttp2008101683.htm

[6] Bay H, Ess A, Tuytelaars T et al. Speeded-up robust features (SURF)[J]. Computer Vision and Image Understanding, 110, 346-359(2008). http://www.sciencedirect.com/science/article/pii/S1077314207001555

[7] Bruck H A. McNeill S R, Sutton M A, et al. Digital image correlation using Newton-Raphson method of partial differential correction[J]. Experimental Mechanics, 29, 261-267(1989).

[8] Pan B, Li K. A fast digital image correlation method for deformation measurement[J]. Optics and Lasers in Engineering, 49, 841-847(2011). http://www.sciencedirect.com/science/article/pii/S0143816611000728

[9] Pan B, Xie H M, Li Y J. Three-dimensional digital image correlation method for shape and deformation measurement of an object surface[J]. Journal of Experimental Mechanics, 22, 556-567(2007).

[10] Harvent J, Coudrin B, Brèthes L et al. Multi-view dense 3D modelling of untextured objects from a moving projector-cameras system[J]. Machine Vision and Applications, 24, 1645-1659(2013). http://dl.acm.org/citation.cfm?id=2562070.2562077

[11] Zhang K W, Liang J, You W et al. Fast morphology measurement based on the binocular vision and speckle projection[J]. Laser & Infrared, 46, 1517-1520(2016).

[12] Hang C, Yan Q. Structural surface topography measurement based on projection speckle method[J]. Science Technology and Engineering, 18, 230-236(2018).

[13] Zhong F, Quan C. Digital image correlation in polar coordinate robust to a large rotation[J]. Optics and Lasers in Engineering, 98, 153-158(2017). http://www.sciencedirect.com/science/article/pii/S0143816617301689

[14] LePage W S, Shaw J A, Daly S H. Optimum paint sequence for speckle patterns in digital image correlation[J]. Experimental Techniques, 41, 557-563(2017). http://link.springer.com/10.1007/s40799-017-0192-3

[15] Ye N, Zhang L Y. Improved fractionized displacement transfer algorithm based on digital image correlation in large deformation applications[J]. Acta Optica Sinica, 30, 976-983(2010).

[16] Ye N, Zhang L Y. Key techniques and system of sheet metal forming limit strain measurement based on stereo vision[J]. Acta Aeronautica et Astronautica Sinica, 31, 2093-2102(2010).

[17] Furukawa Y, Ponce J. Accurate, dense, and robust multiview stereopsis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 1362-1376(2010). http://doi.ieeecomputersociety.org/10.1109/TPAMI.2009.161

[18] Schonberger J L, Frahm J M. Structure-from-motion revisited. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 4104-4113(2016).

[19] Snavely N[2019-03-22]. Bundler: Structure from Motion (SfM) for Unordered Image Collections [2019-03-22].http: ∥www.cs.cornell.edu/~snavely/bundler/..

[20] Wu C C[2019-03-22]. VisualSFM: a visual structure from motion system [2019-03-22].http: ∥ccwu.me/vsfm/..

[21] Moulon P, Monasse P, Perrot R et al. OpenMVG: open multiple view geometry[M]. ∥Kerautret B, Colom M, Monasse P. Reproducible research in pattern recognition. Lecture notes in computer science. Cham: Springer, 10214, 60-74(2017).