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Applied Optics

Applied Optics


  • Vol. 42, Iss. 11 — Apr. 10, 2003
  • pp: 1958–1972

Measuring of a three-dimensional surface by use of a spatial distance computation

Yung-Sheng Chen and Bor-Tow Chen  »View Author Affiliations

Applied Optics, Vol. 42, Issue 11, pp. 1958-1972 (2003)

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The correspondence problem of two captured images, which are obtained by projecting a structured light on the measuring surface, are explored for when three-dimensional information of a given surface is needed. In our system the constraint that codifies the pattern projected on the surface has been simplified by using a random speckle pattern, thus the correspondence problem is reduced to local matching between two captured images and solved by a spatial distance computation technique. The performance of our approach, which includes a disparity error analysis, a search range suggestion, and a disparity gradient limit, are investigated and discussed. Some parameters, such as percentile constraint, sampling interval, and subpixel compensation proper for use in this approach are suggested. Experiments have shown the feasibility of the proposed method.

© 2003 Optical Society of America

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.6890) Image processing : Three-dimensional image processing
(110.6880) Imaging systems : Three-dimensional image acquisition

Original Manuscript: August 11, 2002
Revised Manuscript: December 10, 2002
Published: April 10, 2003

Yung-Sheng Chen and Bor-Tow Chen, "Measuring of a three-dimensional surface by use of a spatial distance computation," Appl. Opt. 42, 1958-1972 (2003)

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  1. J. Batlle, E. Mouaddib, J. Salvi, “Recent progress in coded structured light as a technique to solve the correspondence problem: a survey,” Pattern Recogn. 31, 963–982 (1998). [CrossRef]
  2. J. Salvi, J. Batlle, E. Mouaddib, “A robust-coded pattern projection for dynamic 3D scene measurement,” Pattern Recogn. Lett. 19, 1055–1065 (1998). [CrossRef]
  3. M. Zhou, C. S. Fraser, “Automated surface extraction in real time photogrammetry,” in XIXth ISPRS Congress, Proc. IAPRS XXXIII, Amsterdam, Netherlands, 943–950 (2000).
  4. J. Gühring, “Dense 3-D surface acquisition by structured light using off-the-shelf components,” in Photonics West 2001: Videometrics VII, Proc. SPIE4309, San Jose, Calif.220–231 (2001).
  5. C. Rocchini, P. Cignoni, C. Montani, P. Pingi, R. Scopigno, “A low cost 3D scanner based on structured light,” in Computer Graphics Forum, Proc. EUROGRAPHICS 20, 299–308 (2001).
  6. J. P. Siebert, S. J. Marshall, “Human body 3D imaging by speckle texture projection photogrammetry,” Sensor Review 20, 218–226 (2000). [CrossRef]
  7. N. D’Apuzzo, “Automated photogrammetric measurement of human faces,” International Archives of Photogrammetry and Remote Sensing32, Hakodate, Japan, 402–407 (1998).
  8. N. D’Apuzzo, “Human face modeling from multi images,” Proc. 3rd International Image Sensing Seminar on New Development in Digital Photogrammetry, Gifu, Japan, 28–29 (2001).
  9. N. D’Apuzzo, “Modeling human faces with multi-image photogrammetry,” in Three-Dimensional Image Capture and Applications V, Proc. SPIE4661, San Jose, Calif., 191–197 (2002).
  10. H. T. E. Hertzberg, C. W. Dupertuis, “Stereophotogrammetry as an anthropometric tool,” Photogrammetric Engineering 32, 942–947 (1957).
  11. H. K. Nishihara, “Practical real-time imaging stereo matcher,” Optical Eng. 23, 536–545 (1984). [CrossRef]
  12. A. Grün, “Adaptive least squares correlation: a powerful image matching technique,” South African Journal of Photogrammetry, Remote Sensing and Cartography14, 175–187 (1985).
  13. Y. S. Chen, Y. C. Hsu, “Image segmentation of a color-blindness plate,” Appl. Opt. 33, 6818–6822 (1994). [CrossRef] [PubMed]
  14. Y. S. Chen, Y. C. Hsu, “Computer vision on a colour blindness plate,” Image Vision Comput. 13, 463–478 (1995). [CrossRef]
  15. Y. S. Chen, M. H. Wang, “An approach to perceiving the multi-meaningful-dotted-pattern in a CBP image,” IEICE Trans. Information and Systems E84-D, 751–754 (2001).
  16. TriD-Technical Report for 3D Human Modeling Animation Application, ver. 1.0, Opto-Electronics Systems Laboratories, Industrial Technology Research Institute, Taiwan, 2000.
  17. P. Burt, B. Julesz, “Modifications of the classical notion of Panum’s fusional area,” Perception 9, 671–682 (1980). [CrossRef]
  18. S. B. Pollard, J. E. W. Mayhew, J. P. Frisby, “PMF: A stereo correspondence algorithm using disparity gradient limit,” Perception 14, 449–470 (1985). [CrossRef]
  19. C. Y. Kang, Y. S. Chen, W. H. Hsu, “Automatic approach to mapping a lifelike 2.5D human face,” Image Vision Comput. 12, 5–14 (1994). [CrossRef]

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