Median photometric stereo as applied to the segonko tumulus and museum objects

International Journal of Computer Vision

Volumn 86, Issue 2-3, 2010, Pages 229-242

  Miyazaki, Daisuke ^a,b   Hara, Kenji ^c   Ikeuchi, Katsushi ^a  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

^b HIROSHIMA CITY UNIVERSITY   (Japan)

^c KYUSHU UNIVERSITY   (Japan)

Author keywords

Cultural asset; M estimation; Photometric stereo; Virtual museum

Indexed keywords

3D DATA; CULTURAL ASSETS; DISPLAY CASE; M-ESTIMATION; MUSEUM OBJECTS; OBJECT SURFACE; PHOTOMETRIC STEREO; PHOTOMETRIC STEREO METHOD; SPECULAR REFLECTIONS; SPECULARITIES; SURFACE NORMALS; UNIVERSITY OF TOKYO; VIRTUAL MUSEUM;

PHOTOMETRY; THREE DIMENSIONAL;

FACE RECOGNITION;

EID: 72949115270     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-009-0262-9     Document Type: Conference Paper

References (76)

1. Adobe Photoshop (2009). http://www.adobe.com/products/photoshop/ (ADOBE).
2. Agrawal, A. K., Raskar, R., & Chellappa, R. (2006). What is the range of surface reconstructions from a gradient field? In Proceedings of European conference on computer vision (pp. 578-591).
3. Alldrin, N., Zickler, T., & Kriegman, D. (2008). Photometric stereo with non-parametric and spatially-varying reflectance. In Proceedings of IEEE conference on computer vision and pattern recognition.
4. S. Barsky M. Petrou 2003 The 4-source photometric stereo technique for three-dimensional surfaces in the presence of highlights and shadows IEEE Transactions on Pattern Analysis and Machine Intelligence 25 10 1239 1252 10.1109/TPAMI.2003.1233898
5. R. Basri D. Jacobs I. Kemelmacher 2007 Photometric stereo with general, unknown lighting International Journal of Computer Vision 72 3 239 257 10.1007/s11263-006-8815-7 (Pubitemid 46094751)
6. P. N. Belhumeur D. J. Kriegman A. L. Yuille 1999 The bas-relief ambiguity International Journal of Computer Vision 35 1 33 44 10.1023/A:1008154927611 (Pubitemid 30528016)
7. Birkbeck, N., Cobzas, D., Sturm, P., & Jagersand, M. (2006). Variational shape and reflectance estimation under changing light and viewpoints. In Proceedings of European conference on computer vision (pp. 536-549).
8. Chandraker, M., Agarwal, S., & Kriegman, D. (2007). ShadowCuts: Photometric stereo with shadows. In Proceedings of IEEE conference on computer vision and pattern recognition.
9. Chen, C. P., & Chen, C. S. (2006). The 4-source photometric stereo under general unknown lighting. In Proceedings of European conference on computer vision (pp. 72-83).
10. E. N. Coleman Jr. R. Jain 1982 Obtaining 3-dimensional shape of textured and specular surfaces using four-source photometry Computer Graphics and Image Processing 18 4 309 328 10.1016/0146-664X(82)90001-6
11. Courant, R., & Hilbert, D. (1953). Methods of mathematical physics. New York: Wiley (560 p.).
12. Drew, M. S. (1995). Reduction of rank-reduced orientation-from-color problem with many unknown lights to two-image known-illuminant photometric stereo. In Proceedings of international symposium on computer vision (pp. 419-424).
13. E. Eisemann F. Durand 2004 Flash photography enhancement via intrinsic relighting ACM Transactions on Graphics 23 3 673 678 10.1145/1015706.1015778 (Pubitemid 40163765)
14. H. Farid E. H. Adelson 1999 Separating reflections from images by use of independent component analysis Journal of the Optical Society of America A 16 9 2136 2145 10.1364/JOSAA.16.002136
15. M. A. Fischler R. C. Bolles 1981 Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography Communications of the ACM 24 6 381 395 10.1145/358669.358692 618158 (Pubitemid 12444102)
16. P. Fua Y. G. Leclerc 1995 Object-centered surface reconstruction: combining multi-image stereo and shading International Journal of Computer Vision 16 1 35 56 10.1007/BF01428192
17. Georghiades, A. S. (2003). Incorporating the Torrance and Sparrow model of reflectance in uncalibrated photometric stereo. In Proceedings of IEEE international conference on computer vision (pp. 816-825).
18. Goldman, D., Curless, B., Hertzmann, A., & Seitz, S. M. (2005). Shape and spatially-varying BRDFs from photometric stereo. In Proceedings of IEEE international conference on computer vision (pp. 341-348).
19. D. V. Hahn D. D. Duncan K. C. Baldwin J. D. Cohen B. Purnomo 2006 Digital Hammurabi: design and development of a 3D scanner for cuneiform tablets Proceedings of SPIE 6056 130 141
20. H. Hayakawa 1994 Photometric stereo under a light source with arbitrary motion Journal of the Optical Society of America A 11 11 3079 3089 10.1364/JOSAA.11.003079 1301652
21. A. Hertzmann S. M. Seitz 2005 Example-based photometric stereo: Shape reconstruction with general, varying BRDFs IEEE Transactions on Pattern Analysis and Machine Intelligence 27 8 1254 1264 10.1109/TPAMI.2005.158 (Pubitemid 41245055)
22. Horn, B. K. P. (1986). Robot vision. Cambridge: MIT Press (509 p.).
23. Ikeuchi, K. (1984). Reconstructing a depth map from intensity maps. In Proceedings of international conference on pattern recognition (pp. 736-738).
24. B. Kim P. Burger 1991 Depth and shape from shading using the photometric stereo method Image Understanding 54 3 416 427 0777.68091 10.1016/1049-9660(91) 90040-V (Proc. of CVGIP)
25. G. J. Klinker S. A. Shafer T. Kanade 1988 The measurement of highlights in color images International Journal of Computer Vision 2 1 7 32 10.1007/BF00836279
26. Konica Minolta VIVID 910 (2009). http://www.minolta3d.com/products/vi910- en.asp (MINOLTA3D).
27. Levin, A., & Weiss, Y. (2004). User assisted separation of reflections from a single image using a sparsity prior. In Proceedings of European conference on computer vision (pp. 602-613).
28. Levin, A., Zomet, A., & Weiss, Y. (2004). Separating reflections from a single image using local features. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 306-313).
29. Y. Li J. Sun C. K. Tang H. Y. Shum 2004 Lazy snapping ACM Transactions on Graphics 23 3 303 308 10.1145/1015706.1015719 (Pubitemid 40163719)
30. Lim, J., Ho, J., Yang, M. H., & Kriegman, D. (2005). Passive photometric stereo from motion. In Proceedings of IEEE international conference on computer vision (pp. 1635-1642).
31. Lu, C., & Drew, M. S. (2006). Practical scene illuminant estimation via flash/no-flash pairs. In Proceedings of color imaging conference.
32. Lu, J., & Little, L. (1995). Reflectance function estimation and shape recovery from image sequence of a rotating object. In Proceedings of international conference on computer vision (pp. 80-86).
33. Magda, S., Kriegman, D. J., Zickler, T., & Belhumeur, P. N. (2001). Beyond Lambert: reconstructing surfaces with arbitrary BRDFs. In Proceedings of IEEE international conference on computer vision (pp. 391-398).
34. Y. Mukaigawa Y. Ishii T. Shakunaga 2007 Analysis of photometric factors based on photometric linearization Journal of the Optical Society of America A 24 10 3326 3334 10.1364/JOSAA.24.003326 (Pubitemid 350238795)
35. Narasimhan, S. G., Nayar, S. K., Sun, B., & Koppal, S. J. (2005). Structured light in scattering media. In Proceedings of IEEE of international conference on computer vision (pp. 420-427).
36. S. K. Nayar K. Ikeuchi T. Kanade 1990 Determining shape and reflectance of hybrid surface by photometric sampling IEEE Transactions on Robotics and Automation 6 4 418 431 10.1109/70.59367
37. S. K. Nayar K. Ikeuchi T. Kanade 1991 Shape from interreflections International Journal of Computer Vision 6 3 173 195 10.1007/BF00115695
38. S. K. Nayar K. Ikeuchi T. Kanade 1991 Surface reflection: Physical and geometrical perspectives IEEE Transactions on Pattern Analysis and Machine Intelligence 13 7 6119 634 10.1109/34.85654 (Pubitemid 21674677)
39. S. K. Nayar G. Krishnan M. D. Grossberg R. Raskar 2006 Fast separation of direct and global components of a scene using high frequency illumination ACM Transactions on Graphics 25 3 935 944 10.1145/1141911.1141977 (Pubitemid 44481055)
40. Oishi, T., Nakazawa, A., Kurazume, R., & Ikeuchi, K. (2005). Fast simultaneous alignment of multiple range images using index images. In Proceedings of international conference on 3-D digital imaging and modeling (pp. 476-483).
41. T. Oo H. Kawasaki Y. Ohsawa K. Ikeuchi 2007 The separation of reflected and transparent layers from real-world image sequence Machine Vision and Applications 18 1 17 24 10.1007/s00138-006-0043-1 (Pubitemid 46197027)
42. G. Petschnigg M. Agrawala H. Hoppe R. Szeliski M. Cohen K. Toyama 2004 Digital photography with flash and no-flash image pairs ACM Transactions on Graphics 23 3 664 672 10.1145/1015706.1015777 (Pubitemid 40163764)
43. Press, W. H. et al. (1997). Numerical recipes in C: the art of scientific computing. Cambridge: Cambridge University Press (994 p.).
44. Ragheb, H., & Hancock, E. R. (2004). Surface normals and height from non-Lambertian image data. In Proceedings of international symposium on 3D data processing, visualization and transmission (pp. 18-25).
45. R. Raskar K. H. Tan R. Feris J. Yu M. Turk 2004 Non-photorealistic camera: Depth edge detection and stylized rendering using multi-flash imaging ACM Transactions on Graphics 23 3 679 688 10.1145/1015706.1015779 (Pubitemid 40163766)
46. C. Rother V. Kolmogorov A. Blake 2004 GrabCut: Interactive foreground extraction using iterated graph cuts ACM Transactions on Graphics 23 3 309 314 10.1145/1015706.1015720 (Pubitemid 40163720)
47. Sarel, B., & Irani, M. (2004). Separating transparent layers through layer information exchange. In Proceedings of European conference on computer vision (pp. 328-341).
48. Sarel, B., & Irani, M. (2005). Separating transparent layers of repetitive dynamic behaviors. In Proceedings of IEEE international conference on computer vision (pp. 26-32).
49. Sato, Y., & Ikeuchi, K. (1995). Reflectance analysis under solar illumination. In Proceedings of IEEE workshop on physics-based modeling and computer vision (pp. 180-187).
50. Sato, I., Okabe, T., Yu, Q., & Sato, Y. (2007). Shape reconstruction based on similarity in radiance changes under varying illumination. In Proceedings of international conference on computer vision.
51. Y. Y. Schechner J. Shamir 2000 Polarization and statistical analysis of scenes containing a semireflector Journal of the Optical Society of America A 17 2 276 284 10.1364/JOSAA.17.000276
52. Y. Y. Schechner N. Kiryati R. Basri 2000 Separation of transparent layers using focus International Journal of Computer Vision 39 1 25 39 1060.68639 10.1023/A:1008166017466 (Pubitemid 30960292)
53. Seitz, S. M., Matsushita, Y., & Kutulakos, K. N. (2005). A theory of inverse light transport. In Proceedings of IEEE international conference on computer vision (pp. 1440-1447).
54. Shen, L., Machida, T., & Takemura, H. (2005). Efficient photometric stereo technique for three-dimensional surfaces with unknown BRDF. In Proceedings of conference on recent advances in 3-D digital imaging and modeling (pp. 326-333).
55. Simakov, D., Frolova, D., & Basri, R. (2003). Dense shape reconstruction of a moving object under arbitrary, unknown lighting. In Proceedings of IEEE international conference on computer vision (pp. 1202-1209).
56. F. Solomon K. Ikeuchi 1996 Extracting the shape and roughness of specular lobe objects using four light photometric stereo IEEE Transactions on Pattern Analysis and Machine Intelligence 18 4 449 454 10.1109/34.491627
57. J. Sun Y. Li S. B. Kang H. Y. Shum 2006 Flash matting ACM Transactions on Graphics 25 3 772 778 10.1145/1141911.1141954 (Pubitemid 44481038)
58. J. Sun M. Smith L. Smith S. Midha J. Bamber 2007 Object surface recovery using a multi-light photometric stereo technique for non-Lambertian surfaces subject to shadows and specularities Image and Vision Computing 25 7 1050 1057 10.1016/j.imavis.2006.04.025 (Pubitemid 46678557)
59. Szeliski, R., Avidan, S., & Anandan, P. (2000). Layer extraction from multiple images containing reflections and transparency. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 246-253).
60. Tan, P., Lin, S., & Quan, L. (2006) Resolution-enhanced photometric stereo. In Proceedings of European conference on computer vision (pp. 58-71).
61. Tan, P., Mallick, S. P., Quan, L., Kriegman, D. J., & Zickler, T. (2007). Isotropy, reciprocity and the generalized bas-relief ambiguity. In Proceedings of IEEE conference on computer vision and pattern recognition.
62. Tang, K., Tang, C., & Wong, T. (2005). Dense photometric stereo using tensorial belief propagation. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 132-139).
63. Tominaga, S., Nakagawa, M., & Tanaka, N. (2004). Image rendering of art paintings-total archives considering surface properties and chromatic adaptation. In Proceedings of color imaging conference (pp. 70-75).
64. Tsai, R. Y. (1986). An efficient and accurate camera calibration technique for 3D machine vision. In Proceedings of IEEE Computer Society conference on computer vision and pattern recognition (pp. 364-374).
65. Tu, P., & Mendonca, P. R. S. (2003). Surface reconstruction via Helmholtz reciprocity with a single image pair. In Proceedings of IEEE Computer Society conference on computer vision and pattern recognition.
66. T. Wada H. Ukida T. Matsuyama 1997 Shape from shading with interreflections under a proximal light source: Distortion-free copying of an unfolded book International Journal of Computer Vision 24 2 125 135 10.1023/A:1007906904009
67. R. J. Woodham 1980 Photometric method for determining surface orientation from multiple images Optical Engineering 19 1 139 144
68. Woodham, R. J., Iwahori, Y., & Barman, R. A. (1991). Photometric stereo: Lambertian reflectance and light sources with unknown direction and strength. Technical report.
69. Wu, T. P., & Tang, C. K. (2005). Dense photometric stereo using a mirror sphere and graph cut. In Proceedings of IEEE Computer Society conference on computer vision and pattern recognition (pp. 140-147).
70. Wu, T. P., & Tang, C. K. (2006). Dense photometric stereo by expectation maximization. In Proceedings of European conference on computer vision (pp. 159-172).
71. T. P. Wu K. L. Tang C. K. Tang T. T. Wong 2006 Dense photometric stereo: a Markov random field approach IEEE Transactions on Pattern Analysis and Machine Intelligence 28 11 1830 1846 10.1109/TPAMI.2006.224 (Pubitemid 46414208)
72. Yang, J., Zhang, D., Ohnishi, N., & Sugie, N. (1997). Determining a polyhedral shape using interreflections. In Proceedings of IEEE Computer Society conference on computer vision and pattern recognition (pp. 110-115).
73. A. L. Yuille D. Snow R. Epstein P. N. Belhumeur 1999 Determining generative models of objects under varying illumination: Shape and albedo from multiple images using SVD and integrability International Journal of Computer Vision 35 3 203 222 10.1023/A:1008180726317 (Pubitemid 32210842)
74. Zhang, L., Curless, B., Hertzmann, A., & Seitz, S. M. (2003). Shape and motion under varying illumination: Unifying structure from motion, photometric stereo, and multi-view stereo. In Proceedings of IEEE international conference on computer vision (pp. 618-625).
75. Zickler, T., Belhumeur, P. N., & Kriegman, D. J. (2002). Helmholtz stereopsis: Exploiting reciprocity for surface reconstruction. International Journal of Computer Vision, 215-227.
76. Zickler, T. E., Belhumeur, P. N., & Kriegman, D. J. (2003). Toward a stratification of Helmholtz stereopsis. In Proceedings of IEEE Computer Society conference on computer vision and pattern recognition.