Efficient estimation of reflectance parameters from imaging spectroscopy

IEEE Transactions on Image Processing

Volumn 22, Issue 9, 2013, Pages 3648-3663

  Gu, Lin ^a   Robles Kelly, Antonio A ^a   Zhou, Jun ^b  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b GRIFFITH UNIVERSITY   (Australia)

Author keywords

inverse methods for imaging spectroscopy; Multispectral and hyperspectral imaging; scene analysis

Indexed keywords

COMPUTATIONALLY EFFICIENT; EFFICIENT ESTIMATION; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGING; IMAGING SPECTROSCOPY; LEAST-SQUARES FORMULATION; SCENE ANALYSIS; SPECTRUM COMPUTATION;

CONSTRAINED OPTIMIZATION; INVERSE PROBLEMS; POWER SPECTRUM; RECOVERY; SPECTROSCOPY;

REFLECTION;

ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; CHEMISTRY; COLOR; FACE; FACTUAL DATABASE; HUMAN; ILLUMINATION; IMAGE PROCESSING; PROCEDURES; SKIN; SPECTROSCOPY; ARTICLE; HISTOLOGY; METHODOLOGY;

COLOR; DATABASES, FACTUAL; FACE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIGHTING; PATTERN RECOGNITION, AUTOMATED; SKIN; SPECTRUM ANALYSIS;

EID: 84883348081     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2268970     Document Type: Article

References (45)

1. S. J. Kim, S. Zhuo, F. Deng, C. W. Fu, and M. Brown, "Interactive visualization of hyperspectral images of historical documents, " IEEE Trans. Visualizat. Graph., vol. 16, no. 6, pp. 1441-1448, Dec. 2010.
2. G. Brelstaff and A. Blake, "Detecting specular reflection using lambertian constraints, " in Proc. Int. Conf. Comput. Vis., 1988, pp. 297-302.
3. S. Nayar and R. Bolle, "Reflectance based object recognition, " Int. J. Comput. Vis., vol. 17, no. 3, pp. 219-240, 1996.
4. S. Lin and H. Shum, "Separation of diffuse and specular reflection in color images, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2001, pp. 341-346.
5. G. Klinker, S. Shafer, and T. Kanade, "A physical approach to color image understanding, " Int. J. Comput. Vis., vol. 4, no. 1, pp. 7-38, 1990.
6. H. Ragheb and E. R. Hancock, "A probabilistic framework for specular shape-from-shading, " Pattern Recognit., vol. 36, no. 2, pp. 407-427, 2003.
7. B. van Ginneken, M. Starvridi, and J. J. Koenderink, "Diffuse and specular reflectance from rough surfaces, " Appl. Opt., vol. 37, no. 1, pp. 130-139, 1998.
8. T. K. Leung and J. Malik, "Recognizing surfaces using threedimensional textons, " in Proc. IEEE Int. Conf. Comput. Vis., Sep. 1999, pp. 1010-1017.
9. S. K. Nayar, K. Ikeuchi, and T. Kanade, "Surface reflection: Physical and geometrical perspectives, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 7, pp. 611-634, Jul. 1991.
10. J. E. Harvey, C. L. Vernold, A. Krywonos, and P. L. Thompson, "Diffracted radiance: A fundamental quantity in a non-paraxial scalar diffraction theory, " Appl. Opt., vol. 38, no. 31, pp. 6469-6481, 1999.
11. G. Healey and D. Slater, "Invariant recognition in hyperspectral images, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 1999, pp. 1438-1043.
12. P. H. Suen and G. Healey, "Invariant mixture recognition in hyperspectral images, " in Proc. Int. Conf. Comput. Vis., 2001, pp. 262-267.
13. H. M. G. Stokman and T. Gevers, "Detection and classification of hyperspectral edges, " in Proc. Brit. Mach. Vis. Conf., 1999, pp. 643-651.
14. E. Angelopoulou, "Objective colour from multispectral imaging, " in Proc. Eur. Conf. Comput. Vis., 2000, pp. 359-374.
15. C. P. Huynh and A. Robles-Kelly, "A solution of the dichromatic model for multispectral photometric invariance, " Int. J. Comput. Vis., vol. 90, no. 1, pp. 1-27, 2010.
16. S. A. Shafer, "Using color to separate reflection components, " Color Res. Appl., vol. 10, no. 4, pp. 210-218, 1985.
17. K. Ikeuchi and B. Horn, "Numerical shape from shading and occluding boundaries, " Artif. Intell., vol. 17, nos. 1-3, pp. 141-184, 1981.
18. B. K. P. Horn and M. J. Brooks, "The variational approach to shape from shading, " Comput. Vis., Graph., Image Process., vol. 33, no. 2, pp. 174-208, 1986.
19. Q. Zheng and R. Chellappa, "Estimation of illuminant direction, albedo, and shape from shading, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 7, pp. 680-702, Jul. 1991.
20. P. L. Worthington and E. R. Hancock, "New constraints on datacloseness and needle map consistency for shape-from-shading, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 21, no. 12, pp. 1250-1267, Dec. 1999.
21. P. Dupuis and J. Oliensis, "Direct method for reconstructing shape from shading, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 1992, pp. 453-458.
22. E. Prados and O. Faugeras, "Perspective shape from shading and viscosity solutions, " in Proc. IEEE Int. Conf. Comput. Vis., Oct. 2003, pp. 826-831.
23. R. Kimmel and A. M. Bruckstein, "Tracking level sets by level sets: A method for solving the shape from shading problem, " Comput. Vis. Image Understand., vol. 62, no. 2, pp. 47-48, Jul. 1995.
24. P. Kovesi, "Shapelets correlated with surface normals produce surfaces, " in Proc. Int. Conf. Comput. Vis., 2005, pp. 994-1001.
25. P. Huber, Robust Statistics. New York, NY, USA: Wiley, 1981.
26. B. K. P. Horn, "Shape from shading: A method for obtaining the shape of a smooth opaque object from one view, " Massachusetts Inst. Technol., Cambridge, Univ., Cambridge, MA, USA, Tech. Rep. MIT AI-TR, 1970.
27. A. Refregier, "Shapelets - I. A method for image analysis, " Monthly Notice R. Astronomical Society, vol. 338, no. 1, pp. 35-47, 2003.
28. E. P. Simoncelli, W. T. Freeman, E. H. Adelson, and D. J. Heeger, "Shiftable multiscale transforms, " IEEE Trans. Inf. Theory, vol. 38, no. 2, pp. 587-607, Sep. 2006.
29. S. G. Mallat, A Wavelet Tour of Signal Processing. San Diego, CA, USA: Academic Press, 1999.
30. J. W. Tukey, Exploratory Data Analysis. Reading, MA, USA: Addison- Wesley, 1977.
31. B. K. P. Horn and B. Schunk, "Determining optical flow, " Artif. Intell., vol. 17, pp. 185-204, Aug. 1981.
32. G. D. Finlayson and G. Schaefer, "Convex and non-convex illuminant constraints for dichromatic colour constancy, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jan. 2001, pp. 598-604.
33. G. D. Finlayson, C. Fredembach, and M. S. Drew, "Detecting illumination in images, " in Proc. IEEE Int. Conf. Comput. Vis., Oct. 2007, pp. 1-8.
34. Z. Fu, A. Robles-Kelly, T. Caelli, and R. Tan, "On automatic absorption detection for imaging spectroscopy: A comparative study, " IEEE Trans. Geosci. Remote Sens., vol. 45, no. 11, pp. 3827-3844, Nov. 2007.
35. T. F. Coleman and Y. Li, "On the convergence of interior-reflective newton methods for nonlinear minimization subject to bounds, " Math. Program., vol. 67, pp. 189-224, Oct. 1994.
36. K. Barnard, L. Martin, B. Funt, and A. Coath, "A data set for colour research, " Color Res. Appl., vol. 27, no. 3, pp. 147-151, 2002.
37. T. Liu, J. Sun, N.-N. Zheng, X. Tang, and H.-Y. Shum, "Learning to detect a salient object, " in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2007, pp. 1-8.
38. C.-I. Chang, "An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis, " IEEE Trans. Inf. Theory, vol. 46, no. 5, pp. 1927-1932, Sep. 2000.
39. S. Andrews, I. Tsochantaridis, and T. Hofmann, "Support vector machines for multiple-instance learning, " in Proc. Adv. Neural Inf. Process. Syst., 2003, pp. 561-568.
40. R. N. Clark, A. J. Gallagher, and G. Swayze, "Material absorption band depth mapping of imaging spectrometer data using a complete band shape least-squares fit with library reference spectra, " in Proc. 2nd Airborne Visible/Infr. Imag. Spectrometer Workshop, 1990, pp. 176-186.
41. S. Z. Li, R. Chu, S. Liao, and L. Zhang, "Illumination invariant face recognition using near-infrared images, " IEEE Trans. Pattern Ana. Mach. Intell., vol. 29, no. 4, pp. 627-639, Apr. 2007.
42. E. Land, "The retinex theory of color vision, " Sci. Amer., vol. 237, no. 6, pp. 108-128, Sep. 1977.
43. G. Buchsbaum, "A spatial processor model for object colour perception, " J. Franklin Inst., vol. 310, no. 1, pp. 1-26, 1980.
44. J. van de Weijer, T. Gevers, and A. Gijsenij, "Edge-based color constancy, " IEEE Trans. Image Process., vol. 16, no. 9, pp. 2207-2214, Sep. 2007.
45. Z. Fu and A. Robles-Kelly, "Discriminant absorption-feature learning for material classification, " IEEE Trans. Geosci. Remote Sens., vol. 49, no. 5, pp. 1536-1556, May 2011.