References

• 1. 1)
     • Tan, P., Mallick, S., Quan, L., Kriegman, D., Zickler, T.: `Isotropy, reciprocity and the generalized bas-relief ambiguity', IEEE Conf. Computer Vision and Pattern Recognition, 2007.
  2. 2)
     • Optics and optical instruments catalog 2008.
  3. 3)
     • Agrawal, A., Raskar, R., Chellappa, R.: `What is the range of surface reconstructions from a gradient field?', Ninth European Conf. on Computer Vision Graz, 7–13 May 2006, Austria.
  4. 4)
     • Chen, T., Goesele, M., Seidel, H.: `Mesostructure from specularity', IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR 2006), 17–22 June 2006, New York, NY, USA, p. 1825–1832.
  5. 5)
     • G.J. Klinker , S.A. Shafer , T. Kanade . The measurement of highlights in color images. Int. J. Comput. Vis. , 7 - 32
  6. 6)
     • Ragheb, H., Hancock, E.R.: `Rough surface correction and re-illumination using the modified Beckmann model', Proc. Tenth Int. Conf. on Computer Analysis of Images and Patterns, CAIP 2003, , Groningen, The Netherlands, p. 98–106.
  7. 7)
     • P. Hansson , P.-Å. Johansson . Topography and reflectance analysis of paper surfaces using a photometric stereo method. Opt. Eng. , 9 , 2555 - 2561
  8. 8)
     • Wolff, L.B.: `On the relative brightness of specular and diffuse reflection', Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, 21–23 June 1994, Seattle, USA, p. 369–376.
  9. 9)
     • T. Zickler , S. Mallick , D. Kriegman , P. Belhumeur . Color subspaces as photometric invariants. Int. J. Comput. Vis. , 13 - 30
  10. 10)
      • S.K. Nayar , K. Ikeuchi , T. Kanade . Surface reflection: physical and geometrical perspectives. IEEE Trans. Pattern Anal. Mach. Intell. , 7 , 611 - 634
  11. 11)
      • Argyriou, V., Barsky, S., Petrou, M.: `Generalisation of photometric stereo technique to Q-illuminants', 19thBritish Machine Vision Conf. BMVC2008, 1–4 September 2008, Leeds, UK.
  12. 12)
      • H.D. Tagare , R.J.P. de Figueiredo . A theory of photometric stereo for a class of diffuse non-Lambertian surfaces. IEEE Trans. Pattern Anal. Mach. Intell. , 2 , 133 - 152
  13. 13)
      • Malzbender, T., Wilburn, B., Gelb, D., Ambrisco, B.: `Surface enhancement using real-time photometric stereo and reflectance transformation', Eurographics Symp. on Rendering 2006, 26–28 June 2006, Nicosia, Cyprus.
  14. 14)
      • Drbohlav, O., Šára, R.: `Unambiguous determination of shape from photometric stereo with unknown light sources', Proc. Int. Conf. on Computer Vision, 2001, Vancouver, Canada, 1, p. 581–586.
  15. 15)
      • Tan, R., Ikeuchi, K.: `Separating reflection components of textured surfaces using a single image', Proc. Ninth IEEE Conf. on Computer Vision (ICCV2003), 2003.
  16. 16)
      • J. Sun , M. Smith , L. Smith , S. Midha , J. Bamber . Object surface recovery using a multi-light photometric stereo technique for non-Lambertian surfaces subject to shadows and specularities. Image Vis. Comput. , 7 , 1050 - 1057
  17. 17)
      • E.N. Coleman , R. Jain . Obtaining 3-dimensional shape of textured and specular surfaces using four-source photometry. Comput. Graph. Image Process. , 309 - 328
  18. 18)
      • McGunnigle, G.: `The classification of textured surfaces under varying illuminant direction', 1998, PhD, Heriot-Watt University.
  19. 19)
      • S.K. Nayar , X.S. Fang , T.E. Boult . Separation of reflection components using color and polarization. Int. J. Comput. Vis. , 163 - 186
  20. 20)
      • P. Tan , S. Lin , L. Quan . Subpixel photometric stereo. IEEE Trans. Pattern Anal. Mach. Intell. , 8 , 1460 - 1471
  21. 21)
      • S. Barsky , M. Petrou . The 4-source photometric stereo technique for three-dimensional surfaces in the presence of highlights and shadows. IEEE Trans. Pattern Anal. Mach. Intell. , 10 , 1239 - 1252
  22. 22)
      • H.E. Rushmeier , G. Taubin , A. Gueiec , J. Dorsey , P. Slussallek . (1997) Applying shape from lighting variation to bump map capture.
  23. 23)
      • S.K. Nayar , M. Oren . Generalization of the Lambertian model and implications for machine vision. Int. J. Comput. Vis. , 3 , 227 - 251
  24. 24)
      • F. Solomon , K. Ikeuchi . Extracting the shape and roughness of specular lobe objects using four light photometric stereo. IEEE Trans. Pattern Anal. Mach. Intell. , 4 , 449 - 454
  25. 25)
      • B. Bringier , D. Helbert , M. Khoudeir . Photometric reconstruction of a dynamic textured surface from just one color image acquisition. J. Opt. Soc. Am. A , 3 , 566 - 574
  26. 26)
      • L.B. Wolff . Diffuse-reflectance model for smooth dielectric surfaces. J. Opt. Soc. Am. A , 11 , 2956 - 2968
  27. 27)
      • S.K. Nayar , A.C. Sanderson , L.E. Weiss , D.D. Simon . Specular surface inspection using structured highlight and Gaussian images. IEEE Trans. Robot. Autom. , 2 , 208 - 218
  28. 28)
      • M.L. Smith , L.N. Smith . Dynamic photometric stereo – a new technique for moving surface analysis. Image Vis. Comput. , 9 , 841 - 852
  29. 29)
      • H. Ragheb , E.R. Hancock . Testing new variants of the Beckmann–Kirchhoff model against radiance data. Comput. Vis. Image Underst. , 2 , 145 - 168
  30. 30)
      • Chandraker, M., Agarwal, S., Kriegman, D.: `ShadowCuts: photometric stereo with shadows', IEEE Conf. on Computer Vision and Pattern Recognition, June 2007.
  31. 31)
      • R.J. Woodham . Photometric method for determining surface orientation from multipleimages. Opt. Eng. , 1 , 139 - 144