Performance analysis of a 3D full-field sensor based on fringe projection

Optics and Lasers in Engineering

Volumn 42, Issue 3, 2004, Pages 341-353

  Zhang, Z ^a,b   Zhang, D ^b   Peng, X ^a  

^a TIANJIN UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

3D Sensor; Errors analysis; Fringe projection; Mathematical relationship

Indexed keywords

ANIMATION; CAMERAS; COMPUTER VISION; DIFFRACTION GRATINGS; FOURIER TRANSFORMS; IMAGING SYSTEMS; INTERNET; PARAMETER ESTIMATION; PROFILOMETRY; PROJECTION SYSTEMS; VIRTUAL REALITY;

ERRORS ANALYSIS; FRINGE PROJECTION; MATHEMATICAL RELATIONSHIP; THREE DIMENSIONAL (3D) SENSOR;

OPTICAL SENSORS;

EID: 2142707220     PISSN: 01438166     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.optlaseng.2003.11.004     Document Type: Article

References (19)

1. Petrov M., Talapov A., Robertson T. Optical 3D digitizers. bringing life to the virtual world IEEE Comput Graphics Appl. 18(5-6):1998;28-37.
2. Worthington P.L., Hancock E.R. Object recognition using shape-from-shading. IEEE Trans Pattern Anal Mach Intell. 23(5):2001;535-542.
3. Chen F., Brown G.M., Song M. Overview of three-dimensional shape measurement using optical methods. Opt Eng. 39(1):2000;10-22.
4. Hung Y.Y., Lin L., Shang H.M. Practical three-dimensional computer vision techniques for full-field surface measurement. Opt Eng. 39(1):2000;143-149.
5. Spagnolo G.S., Guattari G., Sapia C. Contouring of artwork surface by fringe projection and FFT analysis. Opt Lasers Eng. 33(2):2000;141-156.
6. Schreiber W.G., Notni G. Theory and arrangements of self-calibrating whole-body three-dimensional measurement systems using fringe projection technique. Opt Eng. 39(1):2000;159-169.
7. Wang S., Tay C., Quan C. Investigation of membrane deformation by a fringe projection method. Appl Opt. 41(1):2002;101-107.
8. Cuevas F.J., Servin M., Rodriguez-Vera R. Depth object recovery using radial basis functions. Opt Commun. 163(4-6):1999;270-277.
9. Cuevas F.J., Servin M., Stavroudis O.N. Multi-layer neural network applied to phase and depth recovery from fringe patterns. Opt Commun. 181(4-6):2000;239-259.
10. Knopf G.K., Kofman J. Neural network mapping of image-to-object coordinates for 3-D shape reconstruction. Intelligent Robots and Computer Vision XV, Proceedings of the SPIE. 2904:1996;129-137.
11. Knopf G.K., Kofman J. Surface reconstruction using neural network mapping of range-sensor images to object space. J Electron Imaging. 11(2):2002;187-194.
12. Ganotra D., Joseph J., Singh K. Profilometry for the measurement of three-dimensional object shape using radial basis function, and multi-layer perceptron neural networks. Opt Commun. 209(4-6):2002;291-301.
13. Quan C., He X.Y., Wang C.F. Shape measurement of small objects using LCD fringe projection with phase shifting. Opt Commun. 189(1-3):2001;21-29.
14. Windecker R., Fleischer M., Korner K., Tiziani H.J. Testing micro devices with fringe projection and white-light interferometry. Opt Lasers Eng. 36(2):2001;141-154.
15. Sutton M.A., Zhao W., McNeill S.R., Schreier H.W. Development and assessment of a single-image fringe projection method for dynamic applications. Exp Mech. 41(3):2001;205-217.
16. Su X.Y., Chen W.J. Fourier transform profilometry. a review Opt Lasers Eng. 35(5):2001;263-284.
17. Takeda M., Mutoh K. Fourier transform profilometry for the automatic measurement of 3D object shapes. Appl Opt. 22(24):1983;3977-3982.
18. Srinivasan V., Liu H., Halioua M. Automated phase-measuring profilometry of 3-D objects. Appl Opt. 23(18):1984;3105-3108.
19. Toyooka S., Iwaasa Y. Automatic profilometry of 3-D diffuse objects by spatial phase detection. Appl Opt. 25(10):1986;1630-1633.