Geometric analysis of influence of fringe directions on phase sensitivities in fringe projection profilometry.

In fringe projection profilometry, phase sensitivity is one of the important factors affecting measurement accuracy. A typical fringe projection system consists of one camera and one projector. To gain insight into its phase sensitivity, we perform in this paper a strict analysis in theory about the dependence of phase sensitivities on fringe directions. We use epipolar geometry as a tool to derive the relationship between fringe distortions and depth variations of the measured surface, and further formularize phase sensitivity as a function of the angle between fringe direction and the epipolar line. The results reveal that using the fringes perpendicular to the epipolar lines enables us to achieve the maximum phase sensitivities, whereas if the fringes have directions along the epipolar lines, the phase sensitivities decline to zero. Based on these results, we suggest the optimal fringes being circular-arc-shaped and centered at the epipole, which enables us to give the best phase sensitivities over the whole fringe pattern, and the quasi-optimal fringes, being straight and perpendicular to the connecting line between the fringe pattern center and the epipole, can achieve satisfyingly high phase sensitivities over whole fringe patterns in the situation that the epipole locates far away from the fringe pattern center. The experimental results demonstrate that our analyses are practical and correct, and that our optimized fringes are effective in improving the phase sensitivities and, further, the measurement accuracies.

[1]  V. Srinivasan,et al.  Automated phase-measuring profilometry of 3-D diffuse objects. , 1984, Applied optics.

[2]  Emanuele Zappa,et al.  Sensitivity analysis applied to an improved Fourier-transform profilometry , 2011 .

[3]  Lei Huang,et al.  Least-squares calibration method for fringe projection profilometry considering camera lens distortion. , 2010, Applied optics.

[4]  J. Apolinar Muñoz Rodríguez,et al.  Online self-camera orientation based on laser metrology and computer algorithms , 2011 .

[5]  J Apolinar Muñoz-Rodríguez Shape connection by pattern recognition and laser metrology. , 2008, Applied optics.

[6]  J. Apolinar Muñoz Rodríguez,et al.  Binocular self-calibration performed via adaptive genetic algorithm based on laser line imaging , 2016 .

[7]  Yajun Wang,et al.  Optimal fringe angle selection for digital fringe projection technique. , 2013, Applied optics.

[8]  Hongwei Guo,et al.  Fourier analysis of the sampling characteristics of the phase-shifting algorithm , 2004, SPIE Optics + Photonics.

[9]  M. Takeda,et al.  Fourier transform profilometry for the automatic measurement of 3-D object shapes. , 1983, Applied optics.

[10]  Yingjie Yu,et al.  Novel multiview connection method based on virtual cylinder for 3-D surface measurement , 2005 .

[11]  Beiwen Li,et al.  Structured light system calibration method with optimal fringe angle. , 2014, Applied optics.

[12]  Haitao He,et al.  Gamma correction for digital fringe projection profilometry. , 2004, Applied optics.

[13]  Hongwei Guo,et al.  Correction of illumination fluctuations in phase-shifting technique by use of fringe histograms. , 2016, Applied optics.

[14]  Zhaoyang Wang,et al.  Three-dimensional shape measurement with a fast and accurate approach. , 2009, Applied optics.

[15]  Ping Zhou,et al.  Analysis of the relationship between fringe angle and three-dimensional profilometry system sensitivity. , 2014, Applied optics.

[16]  Hongwei Guo,et al.  Least-squares fitting of carrier phase distribution by using a rational function in fringe projection profilometry , 2006 .

[17]  Hongwei Guo,et al.  Multiview connection technique for 360-deg three-dimensional measurement , 2003 .

[18]  Qingying Hu,et al.  Calibration of a three-dimensional shape measurement system , 2003 .

[19]  J. Apolinar Muñoz Rodríguez Online self-calibration for mobile vision based on laser imaging and computer algorithms , 2011 .

[20]  Yingjie Yu,et al.  Least-squares calibration method for fringe projection profilometry , 2005 .

[21]  D. J. Brangaccio,et al.  Digital wavefront measuring interferometer for testing optical surfaces and lenses. , 1974, Applied optics.

[22]  Sai Siva Gorthi,et al.  Fringe projection techniques: Whither we are? , 2010 .