A solution of the dichromatic model for multispectral photometric invariance

International Journal of Computer Vision

Volumn 90, Issue 1, 2010, Pages 1-27

  Huynh, Cong Phuoc ^a   Robles Kelly, Antonio ^a,b  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b CSIRO   (Australia)

Author keywords

Dichromatic reflection model; Multispectral imaging; Photometric invariance; Reflectance

Indexed keywords

CLOSED FORM SOLUTIONS; COORDINATE DESCENT; DICHROMATIC MODEL; DICHROMATIC REFLECTION MODEL; IMAGE PATCHES; MULTI-SPECTRAL; MULTISPECTRAL IMAGING; OBJECTIVE FUNCTIONS; OPTIMISATIONS; PHOTOMETRIC INVARIANCE; SMOOTHNESS CONSTRAINTS; SPECULARITY REMOVAL; STRUCTURAL OPTIMISATION; SURFACE REFLECTANCE; TARGET COST;

COST FUNCTIONS; PHOTOMETRY; RECOVERY; REFLECTION; STRUCTURAL DESIGN;

STRUCTURAL OPTIMIZATION;

EID: 77954048042     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-010-0333-y     Document Type: Article

References (61)

1. Angelopoulou, E. (2000). Objective colour from multispectral imaging. In European conf. on computer vision (pp. 359-374).
2. Angelopoulou, E. (2007). Specular highlight detection based on the Fresnel reflection coefficient. In IEEE international conference on computer vision (pp. 1-8). Los Alamitos: IEEE Computer Society.
3. Barnard, K., Martin, L., & Funt, B. V. (2000). Colour by correlation in a three-dimensional colour space. In ECCV '00: Proceedings of the 6th European conference on computer vision - part I (pp. 375-389). London: Springer.
4. K. Barnard L. Martin A. Coath B. V. Funt 2002 A comparison of computational color constancy Algorithms - Part II: Experiments with image data IEEE Transactions on Image Processing 11 9 985 996 10.1109/TIP.2002.802529 (Pubitemid 35250383)
5. K. Barnard L. Martin B. Funt A. Coath 2002 A data set for colour research Color Research and Application 27 3 147 151 10.1002/col.10049 (Pubitemid 34491700)
6. Boyd, S., & Vandenberghe, L. (2004). Convex optimization. Cambridge: Cambridge University Press.
7. D. H. Brainard W. T. Freeman 1997 Bayesian color constancy Journal of Optical Society America A 14 7 1393 1411 10.1364/JOSAA.14.001393
8. D. Brainard B. Wandell 1986 Analysis of the retinex theory of color vision Journal of Optical Society America A 3 1651 1661 10.1364/JOSAA.3.001651
9. D. H. Brainard P. B. Delahunt W. T. Freeman J. M. Kraft B. Xiao 2006 Bayesian model of human color constancy Journal of Vision 6 11 1267 1281 10.1167/6.11.10 (Pubitemid 44739602)
10. Brelstaff, G., & Blake, A. (1988). Detecting specular reflection using lambertian constraints. In Int. conf. on comp. vision (pp. 297-302).
11. Brooks, M., & Horn, B. (1985). Shape and source from shading. In MIT AI Memo.
12. G. Buchsbaum 1980 A spatial processor model for object color perception Journal of The Franklin Institute 310 1 26 10.1016/0016-0032(80)90058-7 (Pubitemid 11434416)
13. Chang, C.-C., & Lin, C.-J. (2001). LIBSVM: a library for support vector machines.
14. Chang, J. Y., Lee, K. M., & Lee, S. U. (2003). Shape from shading using graph cuts. In Proc. of the int. conf. on image processing.
15. CIE (1932). Commission Internationale de l'Éclairage Proceedings, 1931. Cambridge: Cambridge University Press.
16. Dror, R. O., Adelson, E. H., & Willsky, A. S. (2001). Recognition of surface reflectance properties from a single image under unknown real-world illumination. In Proc. of the IEEE workshop on identifying objects across variations in lighting.
17. F. Ferrie J. Lagarde 1992 Curvature consistency improves local shading analysis CVGIP: Image Understanding 55 1 95 105 0777.68086 10.1016/1049-9660(92) 90009-R
18. G. Finlayson S. Hordley 2000 Improving gamut mapping color constancy IEEE Transactions on Image Processing 9 10 10.1109/83.869188
19. G. D. Finlayson G. Schaefer 2001 Convex and non-convex illuminant constraints for dichromatic colour constancy CVPR 1 598 604
20. G. D. Finlayson G. Schaefer 2001 Solving for colour constancy using a constrained dichromatic reflection model International Journal of Computer Vision 42 3 127 144 0990.68602 10.1023/A:1011120214885 (Pubitemid 32680800)
21. G. D. Finlayson S. D. Hordley P. M. Hubel 2001 Color by correlation: a simple, unifying framework for color constancy IEEE Transactions on Pattern Analysis and Machine Intelligence 23 11 1209 1221 10.1109/34.969113 (Pubitemid 33137958)
22. G. D. Finlayson S. D. Hordley I. Tastl 2006 Gamut constrained illuminant estimation International Journal of Computer Vision 67 1 93 109 10.1007/s11263-006-4100-z
23. D. A. Forsyth 1990 A novel algorithm for color constancy International Journal of Computer Vision 5 1 5 36 10.1007/BF00056770
24. G. Healey 1991 Estimating spectral reflectance using highlights Image and Vision Computing 9 5 333 337 10.1016/0262-8856(91)90038-Q (Pubitemid 21719080)
25. Healey, G., & Slater, D. (1999). Invariant recognition in hyperspectral images. In IEEE conf. on computer vision and pattern recognition (pp. 1438-1043).
26. Hoaglin, D. C., Mosteller, F., & Tukey, J. W. (2000). Understanding robust and exploratory data analysis. New York: Wiley.
27. T. Hofmann M. Buhmann 1997 Pairwise data clustering by deterministic annealing IEEE Tansactions on Pattern Analysis and Machine Intelligence 19 1 1 14 10.1109/34.566806
28. Horn, B. K. P. (1986). Robot vision. Cambridge: MIT.
29. B. K. P. Horn M. J. Brooks 1986 The variational approach to shape from shading Computer Vision, Graphics and Image Processing 33 2 174 208 10.1016/0734-189X(86)90114-3
30. Huber, P. J. (1981). Robust statistics. New York: Wiley.
31. K. Ikeuchi B. Horn 1981 Numerical shape from shading and occluding boundaries Artificial Intelligence 17 1-3 141 184 10.1016/0004-3702(81)90023-0
32. G. Klinker S. Shafer T. Kanade 1990 A physical approach to color image understanding International Journal of Computer Vision 4 1 7 38 10.1007/BF00137441
33. G. J. Klinker S. A. Shafer T. Kanade 1988 The measurement of highlights in color images International Journal of Computer Vision 2 7 32 10.1007/BF00836279
34. J. J. Koenderink A. J. van Doorn 1992 Surface shape and curvature scales Image and Vision Computing 10 8 557 565 10.1016/0262-8856(92)90076-F
35. Land, E. H. (1986). Recent advances in retinex theory. Vision Research, 26(1)
36. E. Land J. McCann 1971 Lightness and retinex theory Journal of Optical Society America 61 1 1 11 10.1364/JOSA.61.000001
37. H.-C. Lee 1986 Method for computing the scene-illuminant chromaticity from specular highlights Journal of the Optical Society of America A 3 1694 1699 10.1364/JOSAA.3.001694
38. S. Z. Li 1995 Discontinuous mrf prior and robust statistics: a comparative study Image and Vision Computing 13 3 227 233 10.1016/0262-8856(95) 90842-V
39. Lin, S., & Shum, H.-Y. (2001). Separation of diffuse and specular reflection in color images. In Computer vision and pattern recognition, ieee computer society conference on 1 (p. 341).
40. Mallick, S. P., Zickler, T., Belhumeur, P. N., & Kriegman, D. J. (2006). Specularity removal in images and videos: A PDE approach. In ECCV (1) (pp. 550-563).
41. Narasimhan, S. G., Ramesh, V., & Nayar, S. K. (2003). A class of photometric invariants: separating material from shape and illumination. In International conference on computer vision (pp. 1387-1394). Washington: IEEE Computer Society.
42. S. K. Nayar R. M. Bolle 1993 Computing reflectance ratios from an image Pattern on Recognition 26 1529 1542 10.1016/0031-3203(93)90158-S
43. S. Nayar R. Bolle 1996 Reflectance based object recognition International Journal of Computer Vision 17 3 219 240 10.1007/BF00128232
44. S. L. Phung A. Bouzerdoum D. Chai 2005 Skin segmentation using color pixel classification: Analysis and comparison IEEE Transactions on Pattern Analyses and Machine Intelligence 27 1 148 154 10.1109/TPAMI.2005.17 (Pubitemid 40195906)
45. Poggio, T., & Torre, V. (1984). Ill-posed problems and regularization analysis in early vision. Tech. rep., Cambridge, MA, USA.
46. Ragheb, H., & Hancock, E. R. (2002). Highlight removal using shape-from-shading. In European conf. on comp. vision, LNCS (Vol. 2351, pp. 626-641).
47. Raskar, R., Tumblin, J., Mohan, A., Agrawal, A., & Li, Y. (2006). Computational photography. In Proceeding of Eurographics: state of the art report (STAR).
48. S. A. Shafer 1985 Using color to separate reflection components Color Research and Applications 10 4 210 218 10.1002/col.5080100409
49. Schaefer, G., Hordley, S., & Finlayson, G. (2005). A combined physical and statistical approach to colour constancy. In Computer vision and pattern recognition, IEEE computer society conference on 1 (pp. 148-153).
50. Slater, D., & Healey, G. (1997). Object recognition using invariant profiles. In Computer vision and pattern recognition (pp. 827-832).
51. Stockman, H., & Gevers, T. (1999). Detection and classification of hyperspectral edges. In British machine vision conference (pp. 643-651).
52. Suen, P. H., & Healey, G. (2001). Invariant mixture recognition in hyperspectral images. In Int. conference on computer vision (pp. 262-267).
53. J. M. Sunshine C. M. Pieters S. F. Pratt 1990 Deconvolution of mineral absorption bands: an improved approach Journal of Geophysical Research 95 B5 6955 6966 10.1029/JB095iB05p06955
54. R. T. Tan K. Nishino K. Ikeuchi 2004 Separating reflection components based on chromaticity and noise analysis IEEE Transactions on Pattern Analyses and Machine Intelligence 26 10 1373 1379 10.1109/TPAMI.2004.90
55. S. Tominaga B. A. Wandell 1989 Standard surface-reflectance model and illuminant estimation Journal of the Optical Society of America A 6 576 584 10.1364/JOSAA.6.000576
56. S. Tominaga B. A. Wandell 1990 Component estimation of surface spectral reflectance Journal of the Optical Society of America A 7 2 312 317 10.1364/JOSAA.7.000312
57. van de Weijer, J., & Gevers, T. (2005). Color constancy based on the grey-edge hypothesis. In IEEE international conference on image processing (Vol. 2, pp. 722-725).
58. J. Wang K. J. Dana 2006 Relief texture from specularities IEEE Transactions on Pattern Analysis and Machine Intelligence 28 3 446 457 10.1109/TPAMI.2006.63 (Pubitemid 43159639)
59. P. L. Worthington E. R. Hancock 1999 New constraints on data-closeness and needle map consistency for shape-from-shading IEEE Transactions on Pattern Analysis and Machine Intelligence 21 12 1250 1267 10.1109/34.817406 (Pubitemid 30568933)
60. Q. Zheng R. Chellapa 1991 Estimation of illuminant direction, albedo, and shape from shading IEEE Transactions on Pattern Analysis and Machine Intelligence 13 7 680 702 10.1109/34.85658 (Pubitemid 21674673)
61. T. Zickler S. P. Mallick D. J. Kriegman P. N. Belhumeur 2008 Color subspaces as photometric invariants International Journal of Computer Vision 79 1 13 30 10.1007/s11263-007-0087-3 (Pubitemid 351578660)