Separation of diffuse and specular components of surface reflection by use of polarization and statistical analysis of images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 26, Issue 5, 2004, Pages 639-647

  Umeyama, Shinji ^a   Godin, Guy ^b  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^b NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

Diffuse reflection; Independent component analysis; Mutual information; Polarization based methods; Probabilistic independence; Specular reflection

Indexed keywords

COMPUTER SIMULATION; IMAGE SEGMENTATION; INDEPENDENT COMPONENT ANALYSIS; LIGHT POLARIZATION; REFLECTION; STATISTICAL METHODS;

CONSTANT DIFFUSE COMPONENT; SPECULAR COMPONENTS;

IMAGE PROCESSING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIFFUSION; EVALUATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; PHOTOMETRY; PRINCIPAL COMPONENT ANALYSIS; RADIATION SCATTERING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; DIFFUSION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PHOTOMETRY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SCATTERING, RADIATION; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 3042624976     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2004.1273960     Document Type: Article

References (22)

1. M.S. Bartlett, Face Image Analysis by Unsupervised Learning. Kluwer Academic, 2001.
2. A.J. Bell and T.J. Sejnowski, "An Information-Maximization Approach to Blind Separation and Blind Deconvolution," Neural Computation, vol. 7, pp. 1129-1159, 1995.
3. A.M. Bronstein, M.M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi, "Blind Separation of Reflections Using Sparse ICA," Proc. Symp. Independent Component Analysis and Blind Signal Separation, pp. 227-232, 2003.
4. H. Farid and E.H. Adelson, "Separating Reflection and Lighting Using Independent Component Analysis," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 262-267, 1999.
5. H. Farid and E.H. Adelson, "Separating Reflections from Images by Use of Independent Component Analysis," J. Optical Soc. of Am. A, vol. 16, no. 9, pp. 2136-2145, 1999.
6. A. Hyvärinen, J. Karhunen, and E. Oja, Independent Component Analysis. Wiley-Interscience, 2001.
7. F.A. Jenkins and H.E. White, Fundamentals of Optics. McGraw-Hill, 1957.
8. G.J. Klinker, S.A. Shafer, and T. Kanade, "Using a Color Reflection Model to Separate Highlights from Object Color," Proc. IEEE First Int'l Conf. Computer Vision, pp. 145-150, 1987.
9. S. Kodama and N. Suda, Matrix Theory for System Control. The Soc. Industrial and Control Eng. (Japan), 1979, (in Japanese).
10. S. Makeig, A.J. Bell, T.-P. Jung, and T.J. Sejnovski, "Independent Component Analysis of Electroencephalographic Data," Advances in Neural Information Processing Systems 8, MIT Press, 1996.
11. D. Miyazaki, M. Saito, Y. Sato, and K. Ikeuchi, "Determining Surface Orientations of Transparent Objects Based on Polarization Degrees in Visible and Infrared Wavelengths," J. Optical Soc. of Am. A, vol. 19, no. 4, pp. 687-694, 2002.
12. S.K. Nayar, K. Ikeuchi, and T. Kanade, "Surface Reflection: Physical and Geometrical Perspectives," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 7, pp. 611-634, 1991.
13. S.K. Nayar, X. Fang, and T. Boult, "Removal of Specularities Using Color and Polarization," Proc. Computer Vision and Pattern Recognition, pp. 583-590, 1993.
14. S.K. Nayar, X. Fang, and T. Boult, "Separation of Reflection Components Using Color and Polarization," Int'l J. Computer Vision, vol. 21, no. 3, pp. 163-186, 1997.
15. Y. Sato, M. Wheeler, and K. Ikeuchi, "Object Shape and Reflectance Modeling from Observation," Proc. SIGGRAPH'97 Conf., pp. 379-387, 1997.
16. Y. Schechner and J. Shamir, "Polarization and Statistical Analysis of Scenes Containing a Semireflector," J. Optical Soc. of Am. A, vol. 17, no. 2, pp. 276-284, 2000.
17. S. Shafer, "Using Color to Separate Reflection Components," Color Research Applications, vol. 10, pp. 210-218, 1985.
18. K.E. Torrance and E.M. Sparrow, "Theory for Off-Specular Reflection from Roughened Surfaces," J. Optical Soc. of Am., vol. 57, no. 9, pp. 1104-1114, 1967.
19. S. Umeyama, "Blind Deconvolution of Images Using Gabor Filters and Independent Component Analysis," Proc. Symp. Independent Component Analysis and Blind Signal Separation, pp. 319-324, 2003.
20. L.B. Wolff, "Using Polarization to Separate Reflectance Components," Proc. Conf. Computer Vision and Pattern Recognition, pp. 363-369, 1989.
21. L.B. Wolff and T.E. Boult, "Constraining Object Features Using a Polarization Reflectance Model," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 7, pp. 635-657, July 1991.
22. I. Yamaguchi, Applied Optics. Japan: Ohmsha 1998, (in Japanese).