Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 10 references without a DOI — listed, not checked
no DOI — not checkedPeters, W.H. andRanson, W.F., “Digital Imaging Techniques in Experimental Stress Analysis,”Optical Eng.,21,427–431 (1982).
no DOI — not checkedPeters, W.H., Ranson, W.F., Sutton, M.A., Chu, T.C. andAnderson, J., “Applications of Digital Correlation Method to Rigid Body Mechanics”,Optical Eng.,22,738–743 (1984).
no DOI — not checkedMcNeill, S.R., Peters, W.H., Sutton, M.A. andRanson, W.F., “A Least Square Estimation of Stress Intensity Factor From Video-computer Development Data,”Proc. SECTAM XII, vol. 2, Engineering Extension Service, Auburn University, 188–193 (1984).
no DOI — not checkedDurig, B.R., McNeill, S.R., Sutton, M.A., Chao, Y.J. andPeters, W.H., “Determination of Mixed Mode Stress Intensity Factors Using Digital Image Correlation,”Proc. VI Int. Congress on Exp. Mech., Society for Experimental Mechanics, Bethel, CT, 544–552 (1988).
no DOI — not checkedOkamoto, A., “Orientation and Construction of Models,”Photogrammetric Engineering and Remote Sensing,48 (11),1615–1626 (1981).
no DOI — not checkedFaig, W., “Calibration of Close-Range Photogrammetry System: Mathematical Formulation,”Photogrammetric Engineering and Remote Sensing,41 (12),1479–1486 (1975).
no DOI — not checkedBopp, H. andKrauss, H., “An Orientation and Calibration Method for Non-metric Cameras,”Photogrammetric Engineering and Remote Sensing,44 (9),1191–1196 (1978).
no DOI — not checkedOkamoto, A., “The Model Construction Problem Using the Collinearity Condition,”Photogrammetric Engineering and Remote Sensing,50 (6),705–711 (1984).
no DOI — not checkedStrat, T.M., “Recovering the Camera Parameters from a Transformation Matrix,” Proc. DARPA Image Understanding Workshop, 264–271 (Oct. 1984).
no DOI — not checkedTsai, R.Y., “An Efficient and Accurate Camera Calibration Technique for 3-D Machine Vision,” Proc. Int. Conf. Computer Vision and Pattern Recognition, 364–374 (1986).
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