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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Editor: Stephen A. Burns
  • Vol. 25, Iss. 3 — Mar. 1, 2008
  • pp: 566–574

Photometric reconstruction of a dynamic textured surface from just one color image acquisition

Benjamin Bringier, David Helbert, and Majdi Khoudeir  »View Author Affiliations

JOSA A, Vol. 25, Issue 3, pp. 566-574 (2008)

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Textured surface analysis is essential for many applications. We present a three-dimensional recovery approach for real textured surfaces based on photometric stereo. The aim is to be able to measure the textured surfaces with a high degree of accuracy. For this, we use a color digital sensor and principles of color photometric stereo. This method uses a single color image, instead of a sequence of gray-scale images, to recover the surface of the three dimensions. It can thus be integrated into dynamic systems where there is significant relative motion between the object and the camera. To evaluate the performance of our method, we compare it on real textured surfaces to traditional photometric stereo using three images. We thus show that it is possible to have similar results with just one color image.

© 2008 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(110.6880) Imaging systems : Three-dimensional image acquisition
(120.5240) Instrumentation, measurement, and metrology : Photometry
(330.1730) Vision, color, and visual optics : Colorimetry

ToC Category:
Image Processing

Original Manuscript: July 23, 2007
Revised Manuscript: November 1, 2007
Manuscript Accepted: December 7, 2007
Published: February 4, 2008

Virtual Issues
Vol. 3, Iss. 4 Virtual Journal for Biomedical Optics

Benjamin Bringier, David Helbert, and Majdi Khoudeir, "Photometric reconstruction of a dynamic textured surface from just one color image acquisition," J. Opt. Soc. Am. A 25, 566-574 (2008)

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  1. H. Zahouani, R. Vargiolu, and M.-T. Do, "Characterization of micro texture related to wet road/tire friction," in Proceedings of AIPCR/PIARC (AIPCR/PIARC, 2000), pp. 195-205.
  2. O. Faugeras, Three-Dimensional Computer Vision: A Geometric Viewpoint (MIT, 1995).
  3. B. Shahraray and M. Brown, "Robust depth estimation from optical flow," in Second International Conference on Computer Vision (IEEE, 1988), pp. 641-650.
  4. B. Horn, "Shape from shading: a method for obtaining the shape of a smooth opaque object from one view," Ph.D. dissertation (Massachusetts Institute of Technology, 1970).
  5. R. Zhang, P. Tsai, J. Cryer, and M. Shah, "Shape from shading: a survey," IEEE Trans. Pattern Anal. Mach. Intell. 21, 690-706 (1999). [CrossRef]
  6. R. Woodham, "Photometric method for determining surface orientation from multiple images," Opt. Eng. (Bellingham) 19, 139-144 (1980).
  7. J. E. N. Coleman and R. C. Jain, "Obtaining 3-dimensional shape of textured and specular surface using four-source photometry," Comput. Graph. Image Process. 18, 309-328 (1982). [CrossRef]
  8. K. Ikeuchi, "Determining surface orientations of specular surfaces by using the photometric stereo method," IEEE Trans. Pattern Anal. Mach. Intell. 3, 141-184 (1981). [CrossRef]
  9. G. McGunnigle and M. Chantler, "Rough surface description using photometric stereo," Meas. Sci. Technol. 14, 699-709 (2003). [CrossRef]
  10. A. Ben Slimane, M. Khoudeir, J. Brochard, V. Legeay, and M.-T. Do, "Relief reconstruction of rough textured surface through image analysis," Presented at the IS&T/SPIE 15th Annual Symposium on Electronic Imaging Science and Technology, Santa Clara, Calif., January 23-24, 2003.
  11. M. Khoudeir, J. Brochard, A. Benslimane, and M.-T. Do, "Estimation of the luminance map for a Lambertian photometric model: application to the study of road surface roughness," J. Electron. Imaging 3, 512-522 (2004).
  12. A. Pentland, "Photometric motion," IEEE Trans. Pattern Anal. Mach. Intell. 13, 879-890 (1991). [CrossRef]
  13. T. Malzbender, B. Wilburn, D. Geld, and B. Ambrisco, "Surface enhancement using real-time photometric stereo and reflectance transformation," presented at the Eurographics Symposium on Rendering, Nicosia, Cyprus, June 26-28, 2006.
  14. M. S. Drew, "Shape from color," Tech. Rep. CSS/LCCR TR 97-07 (Centre for Scientific Computing, 1992).
  15. M. L. Smith and L. N. Smith, "Dynamic photometric stereo--a new technique for moving surface analysis," Image Vis. Comput. 23841-852 (2005). [CrossRef]
  16. M. S. Drew, "Photometric stereo without multiple images," Proc. SPIE 3016, 369-380 (1997). [CrossRef]
  17. G. Sharma, Digital Color Imaging Handbook (CRC, 2003).
  18. J. Lambert, Photometria (Augsburg, 1760).
  19. B. Horn, "Height and gradient from shading," Int. J. Comput. Vis. 5, 37-75 (1990). [CrossRef]
  20. R. Klette and K. Schluns, "Height data from gradient fields," Proc. SPIE 2008, 204-215 (1996). [CrossRef]
  21. T. Wei and R. Klette, "Height from gradient using surface curvature and area constraints," in Third Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) (ICVGIP, 2002), pp. 204-210.
  22. P. Kovesi, "Shapelets correlated with surface normals produce surfaces," in IEEE International Conference on Computer Vision (IEEE, 2005), Vol. 2, pp. 994-1001.
  23. A. Woodward and P. Delmas, "Synthetic ground truth for comparison of gradient field integration methods for human faces," presented at the Image and Vision Computing New Zealand Conference, Dunedin, New Zealand, November 28-29, 2005.
  24. A. Agrawal, R. Raskar, and R. Chellappa, "What is the range of surface reconstructions from a gradient field?" in European Conference on Computer Vision (ECCV) (Springer, 2006), pp. 578-591.
  25. R. Frankot and R. Chellappa, "A method for enforcing integrability in shape from shading algorithms," IEEE Trans. Pattern Anal. Mach. Intell. 10, 439-451 (1988). [CrossRef]
  26. K. Schlüns and R. Klette, "Local and global integration of discrete vector fields," in Advances in Computer Vision, F.Solina, W.G.Kropatsch, R.Klette, and R.Bajesy, eds. (Springer, 1997), pp. 149-158. [CrossRef]
  27. J. Y. Hardeberg, Acquisition and Reproduction of Color Images: Colorimetric and Multispectral Approaches (Universal, 2001).
  28. X. Huang, J. Brochard, D. Helbert, and M. Khoudeir, "Relief extraction of rough textured reflecting surface by image processing," presented at the IEEE/SPIE International Conference on Quality Control by Artificial Vision, Le Creusot, France, May 23-25, 2007.
  29. M. Oren and S. Nayar, "Generalization of the Lambertian model and implications for machine vision," Int. J. Comput. Vis. 14, 227-251 (1995). [CrossRef]
  30. D. Helbert, M. Khoudeir, and M.-T. Do, "Rough surfaces and relief extraction by generalized Lambertian's photometric model," presented at the IEEE International Conference on Signal Processing and Communication, Dubai, United Arab Emirates, November 24-27, 2007.

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