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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 15, Iss. 12 — Dec. 1, 1998
  • pp: 2966–2975

Matching photometric-stereo images

José R. A. Torreão and João L. Fernandes  »View Author Affiliations


JOSA A, Vol. 15, Issue 12, pp. 2966-2975 (1998)
http://dx.doi.org/10.1364/JOSAA.15.002966


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Abstract

We introduce a new process of shape estimation through the matching of photometric-stereo images, which are monocular images obtained under different illuminations. If the illumination directions are not far apart, and if the imaged surface is smooth, so that a linear approximation to the reflectance map is applicable, the disparities produced by the matching process can be related to the depth function of the imaged surface through a differential equation whose approximate solution is easily found. We thus obtain a closed-form expression for surface depth, depending only on the coefficients of the linear-reflectance-map function. If those coefficients are not available, a simple iterative scheme still allows the recovery of depth, up to an overall scale factor.

© 1998 Optical Society of America

OCIS Codes
(150.0150) Machine vision : Machine vision
(150.4620) Machine vision : Optical flow
(330.1400) Vision, color, and visual optics : Vision - binocular and stereopsis

History
Original Manuscript: October 20, 1997
Revised Manuscript: August 10, 1998
Manuscript Accepted: August 11, 1998
Published: December 1, 1998

Citation
José R. A. Torreão and João L. Fernandes, "Matching photometric-stereo images," J. Opt. Soc. Am. A 15, 2966-2975 (1998)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-15-12-2966


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References

  1. R. J. Woodham, “Photometric method for determining surface orientation from multiple images,” Opt. Eng. (Bellingham) 19, 139–144 (1980). [CrossRef]
  2. L. B. Wolff, “Shape understanding from Lambertian photometric flow fields,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (IEEE Computer Society Press, Los Alamitos, Ca., 1989), pp. 46–52.
  3. K. M. Lee, C.-C. J. Kuo, “Shape reconstruction from photometric stereo,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (IEEE Computer Society Press, Los Alamitos, Ca., 1992), pp. 479–484.
  4. R. Zhang, P.-S. Tsai, M. Shah, “Photomotion,” Comput. Vis. Image Underst. 63, 221–231 (1996). [CrossRef]
  5. A. Pentland, “Photometric motion,” IEEE Trans. Pattern Anal. Mach. Intell. 13, 879–890 (1991). [CrossRef]
  6. B. K. P. Horn, B. G. Schunck, “Determining optical flow,” Artif. Intel. 17, 185–203 (1981). [CrossRef]
  7. A. Pentland, “Linear shape from shading,” Int. J. Comput. Vis. 4, 153–162 (1990). [CrossRef]
  8. F. B. Hildebrand, Advanced Calculus for Applications (Prentice-Hall, Englewood Cliffs, N.J., 1962).
  9. J. R. A. Torreão, E. Roe, “Microcanonical optimization applied to visual processing,” Phys. Lett. A 205, 377–382 (1995). [CrossRef]
  10. S. T. Barnard, “A stochastic approach to stereo vision,” in Proceedings of the Fifth National Conference on Artificial Intelligence (MIT, Cambridge, Mass., 1986), pp. 676–680.
  11. K. Ikeuchi, “Determining a depth map using a dual photometric stereo,” Int. J. Robotics Res. 6, 15–31 (1987).
  12. G. Busettini, G. S. Masson, F. A. Miles, “A role for stereoscopic depth cues in the rapid visual stabilization of the eyes,” Nature (London) 380, 342–345 (1996). [CrossRef]

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