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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 50, Iss. 4 — Feb. 1, 2011
  • pp: 532–541

Integrated three-dimensional shape and reflection properties measurement system

Jakub Krzesłowski, Robert Sitnik, and Grzegorz Mączkowski  »View Author Affiliations

Applied Optics, Vol. 50, Issue 4, pp. 532-541 (2011)

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Creating accurate three-dimensional (3D) digitalized models of cultural heritage objects requires that information about surface geometry be integrated with measurements of other material properties like color and reflectance. Up until now, these measurements have been performed in laboratories using manually integrated (subjective) data analyses. We describe an out-of-laboratory bidirectional reflectance distribution function (BRDF) and 3D shape measurement system that implements shape and BRDF measurement in a single setup with BRDF uncertainty evaluation. The setup aligns spatial data with the angular reflectance distribution, yielding a better estimation of the surface’s reflective properties by integrating these two modality measurements into one setup using a single detector. This approach provides a better picture of an object’s intrinsic material features, which in turn produces a higher-quality digitalized model reconstruction. Furthermore, this system simplifies the data processing by combining structured light projection and photometric stereo. The results of our method of data analysis describe the diffusive and specular attributes corresponding to every measured geometric point and can be used to render intricate 3D models in an arbitrarily illuminated scene.

© 2011 Optical Society of America

OCIS Codes
(100.6890) Image processing : Three-dimensional image processing
(120.5240) Instrumentation, measurement, and metrology : Photometry
(290.1483) Scattering : BSDF, BRDF, and BTDF
(130.6622) Integrated optics : Subsystem integration and techniques

ToC Category:
Image Processing

Original Manuscript: June 23, 2010
Revised Manuscript: November 18, 2010
Manuscript Accepted: November 30, 2010
Published: January 27, 2011

Jakub Krzesłowski, Robert Sitnik, and Grzegorz Mączkowski, "Integrated three-dimensional shape and reflection properties measurement system," Appl. Opt. 50, 532-541 (2011)

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  1. D. V. Hahn, K. C. Baldwin, and D. D. Duncan, “Non-laser-based scanner for three-dimensional digitization of historical artifacts,” Appl. Opt. 46, 2838–2850 (2007). [CrossRef] [PubMed]
  2. K. Ikeuchia and D. Miyazaki, Digitally Archiving Cultural Objects (Springer, 2008). [CrossRef]
  3. B. K. P. Horn and M. J. Brooks, Shape from Shading, Series of Artificial Intelligence Series Archive (MIT, 1989).
  4. M. Levoy, K. Pulli, B. Curless, S. Rusinkiewicz, D. Koller, L. Pereira, M. Ginzton, S. Anderson, J. Davis, J. Ginsberg, J. Shade, , and D. Fulk, “The digital Michelangelo project: 3D scanning of large statues,” in Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques (Association for Computing Machinery, 2000), pp. 131–144.
  5. V. Domiter, B. Repnik, and B. Žalik, “Surface reconstruction algorithms in cultural heritage digital representation,” in Proceedings of the International Symposium on Information Communication and Automation Technologies (ICAT) (IEEE, 2009), pp. 1–5.
  6. C. Rocchini, P. Cignoni, C. Montani, P. Pingi, and R. Scopigno, “A low cost 3D scanner based on structured light,” in Computer Graphics Forum Eurographics 2001 Conference Issue, Vol. 20 (Blackwell, 2001), pp. 299–308. [CrossRef]
  7. E. Reinhard, G. Ward, S. Pattanaik, and P. Debevec, High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (Elsevier, 2006).
  8. P. D. Burns and R. S. Berns, “Analysis multispectral image capture,” in Proceedings of Fourth Color Imaging Conference Color Science, Systems, and Applications (Society for Imaging Science and Technology, 1996), pp. 19–22.
  9. J. D. Foley, A. van Dam, S. K. Feiner, and J. F. Hughes, Computer Graphics: Principles and Practice in C, 2nd ed. (Addison-Wesley, 1996).
  10. T. Luhmann, S. Robson, S. Kyle, and I. Harley, Close Range Photogrammetry: Principles, Techniques and Applications (Wiley, 2007).
  11. H. P. A. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel, “Image-based reconstruction of spatially varying materials,” in Twelfth Eurographics Workshop on Rendering (Springer, 2001).
  12. G. J. Ward, “Measuring and modeling anisotropic reflection,” in Proceedings of the 19th Annual Conference on Computer Graphics and Interactive Techniques, Vol. 26 (Association for Computing Machinery, 1992), pp. 265–272 .
  13. E. Lafortune, S. Foo, K. Torrance, and D. Greenberg, “Non-linear approximation of reflectance functions,” in Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques (Association for Computing Machinery, 1997).
  14. S. R. Marschner, S. H. Westin, E. P. F. Lafortune, K. E. Torrance, and D. P. Greenberg, “Image-based BRDF measurement including human skin,” in Ninth Eurographics Workshop on Rendering (Springer, 1999).
  15. J. Paterson, D. Claus, and A. Fitzgibbon, “BRDF and geometry capture from extended inhomogeneous samples using flash photography,” Comput. Graph. Forum 24, 383–391 (2005). [CrossRef]
  16. D. B. Goldman, B. Curless, A. Hertzmann, and S. M. Seitz, “Shape and spatially-varying BRDFs from potometric stereo,” in IEEE International Conference on Computer Vision Workshops (IEEE, 2005), pp. 341–348.
  17. K. J. Dana, “BRDF/BTF measurement device,” in Eighth IEEE International Conference on Computer Vision Workshops, Vol. 2 (IEEE, 2001), pp. 460.
  18. W. Matusik, H. Pfister, M. Brand, and L. McMillan, “Efficient isotropic BRDF measurement,” in Proceedings of the 14th Eurographics Symposium on Rendering (European Association for Computer Graphics, 2003).
  19. J. Salvi, J. Pagès, and J. Batlle, “Pattern codification strategies in structured light systems,” Pattern Recogn. 37, 827–849 (2004). [CrossRef]
  20. M. Ito and A. Ishii, “A three-level checkerboard pattern (TCP) projection method for curved surface measurement,” Pattern Recogn. 28, 27–40 (1995). [CrossRef]
  21. H. Hügli and G. Maïtre, “Generation and use of color pseudo random sequences for coding structured light in active ranging,” Proc. SPIE 1010, 75–82 (1989).
  22. R. A. Morano, C. Ozturk, R. Conn, S. Dubin, S. Zietz, and J. Nissanov, “Structured light using pseudorandom codes,” IEEE Trans. Pattern Anal. Mach. Intell. 20, 322–327(1998). [CrossRef]
  23. M. Trobina, “Error model of a coded-light range sensor,” Tech. Rep. BIWI-TR-164 (Communication Technology Laboratory, ETH Zentrum, 1995), pp. 1–35.
  24. D. Caspi, N. Kiryati, and J. Shamir, “Range imaging with adaptive color structured light,” IEEE Trans. Pattern Anal. Mach. Intell. 20, 470–480 (1998). [CrossRef]
  25. D. Bergmann, “New approach for automatic surface reconstruction with coded light,” Proc. SPIE 2572, 2–9 (1995). [CrossRef]
  26. T. Pajdla, “BCRF—binary-coded illumination range finder reimplementation,” Tech. Rep. KUL/ESAT/MI2/9502, (Katholieke Universiteit Leuven, ESAT, April 1995).
  27. T. Monksand and J. Carter, “Improved stripe matching for colour encoded structured light,” in Proceedings of the 5th International Conference on Computer Analysis of Images and Patterns, D. Chetverikov and W.G.Kropatsch (Springer-Verlag, 1993), pp. 476–485.
  28. R. Sitnik, M. Kujawinska, and J. Woznicki, “Digital fringe projection system for large-volume 360 deg shape measurement,” Opt. Eng. 41, 443–449 (2002). [CrossRef]
  29. X. He, P. Heynen, R. Phillips, K. Torrance, D. Salesin, and D. Greenberg, “A fast and accurate light reflection model,” in Proceedings of the 19th Annual Conference on Computer Graphics and Interactive Techniques (Association for Computing Machinery, 1992), pp. 253–254.
  30. K. E. Torrance, E. M. Sparrow, “Theory for off-specular reflection from roughened surfaces,” J. Opt. Soc. Am. 57, 1105–1112 (1967). [CrossRef]
  31. P. Shirley, “Physically based lighting calculations for computer graphics,” Ph.D. dissertation (University of Illinois at Urbana–Champaign, 1990).
  32. B.-T. Phong, “Illumination for computer generated pictures,” Commun. ACM 18, 311–317 (1975). [CrossRef]
  33. T. Yu, N. Xu, and N. Ahuja, “Recovering shape and reflectance model of non-Lambertian objects from multiple views,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2004), pp. 226–233.
  34. E. P. Lafortune and Y. D. Willems, “Using the modified Phong BRDF for physically based rendering,” Tech. Rep. CW197 (Computer Science Department, Katholieke Universiteit Leuven, 1994).
  35. M. Ashikmin and P. Shirley, “An anisotropic Phong light reflection model,” Tech. Rep. UUCS-00-014 (Computer Science Department, University of Utah, 2000).
  36. R. L. Cook and K. E. Torrance, “A reflectance model for computer graphics,” ACM Trans. Graph. 1, 7–24(1982). [CrossRef]
  37. S. M. Rusinkiewicz, “A new change of variables for efficient BRDF representation,” in Ninth Eurographics Workshop on Rendering (Springer, 1998), pp. 11–22.
  38. T. Haber and P. Bekaert, “Image-based acquisition of shape and spatially varying reflectance,” in British Machine Vision Conference 2008 Proceedings, M.Everingham, C.J.Needham, and R.Fraile, eds. (British Machine Vision Association, 2008).
  39. J. Gu, C. Tu, R. Ramamoorthi, P. Belhumeur, W. Matusik, and S. K. Nayar, “Time-varying surface appearance: acquisition, modeling and rendering,” ACM Trans. Graph. 25, 762–771(2006). [CrossRef]
  40. R. Sitnik, “New method of structure light measurement system calibration based on adaptive and effective evaluation of 3D-phase distribution,” Proc. SPIE 5856, 109–117 (2005). [CrossRef]
  41. J. Blinn, “Models of light reflection for computer synthesized pictures,” in Proceedings of the 1977 Conference on Computer Graphics and Interactive Techniques (Association for Computing Machinery, 1977), pp. 192–198.
  42. J. Gühring, “Dense 3D surface acquisition by structured light using off-the-shelf components,” Proc. SPIE 4309, 220–231(2001). [CrossRef]
  43. K. Patorskiand and M. Kujawinska, Handbook of the Moiré Fringe Technique (Elsevier, 1993).

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