Copyright © 2006 The Institute of Electronics, Information and Communication Engineers
Special Section on Machine Vision Applications -- Papers -- Photometric Analysis |
Development and Calibration of a Gonio-Spectral Imaging System for Measuring Surface Reflection
1 The authors are with the Department of Engineering Informatics, Faculty of Information and Communication Engineering, Osaka Electro-Communication University, Neyagawa-shi, 572–8530 Japan. E-mail: kima{at}isc.osakac.ac.jp, 2 The author is with the Department of Industry-Information Science, Faculty of Social Sciences, Nagano University, Ueda-shi, 386–1298 Japan.
This paper proposes a gonio-spectral imaging system for measuring light reflection on an object surface by using two robot arms, a multi-band lighting system, and a monochrome digital camera. It allows four degrees of freedom in incident and viewing angles necessary for full parametrization of a reflection model function. Spectral images captured for various incident and viewing angles are warped as if they were all captured from the same viewing direction. The intensity of reflected light is thus recorded in a normalized image form for any incident and viewing directions. The normalized images are used to estimate reflection model parameters at each surface point. To ensure point-wise reflection modeling, a calibration method is also proposed based on a geometrical model of the robot arms and camera. The proposed system can deal with objects with surface texture. Experiments are done on system calibration, reflection model, and spectral estimation. The results using colored objects show the feasibility of the proposed imaging system.
Key Words: goniophotometry, spectral imaging system, surface-spectral reflection, light reflection model, robot arm
Manuscript received November 2, 2005. Manuscript revised January 23, 2006.
References
[1] K.E. Torrance and E.M. Sparrow, "Theory for off-specular reflection from roughened surfaces," J. Opt. Soc. Am., vol.57, no.9, pp.1105–1114, 1967.
[2] 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, 1991.
[3] M. Oren and S.K. Nayar, "Generalization of the Lambertian model and implications for machine vision," Int. J. Comput. Vis., vol.14, pp.227–251, 1995.
[4] S. Tominaga and N. Tanaka, "Estimating reflection model parameters from a single color image," IEEE Comput. Graph. Appl., vol.20, no.15, pp.58–66, 2000.
[5] G.J. Ward, "Measuring and modeling anisotropic reflection," ACM SIGGRAPH '92, Comput. Graphics, vol.26, no.2, pp.265–272, 1992.
[6] S.R. Marschner, S.H. Westin, E.P.F. Lafortune, and K.E. Torrance, "Image-based bidirectional reflectance distribution function measurement," Appl. Opt., vol.39, no.16, pp.2592–2600, 1999.
[7] W. Matusik, H Pfister, M Brand, and L McMillan, "A data-driven reflectance model," ACM SIGGRAPH '03, ACM Trans. Graphics, vol.22, no.3, pp.759–769, 2003.
[8] Y. Sato, M.D. Wheeler, and K. Ikeuchi, "Object shape and reflectance modeling from observation," ACM SIGGRAPH '97, Comput. Graphics, vol.31, pp.379–387, 1997.
[9] K.J. Dana, B. van Ginneken, S.K. Nayar, and J.J. Koenderink, "Reflectance and texture of real-world surfaces," ACM Trans. Graphics, vol.18, no.1, pp.1–34, 1999.
[10] S. Grabli, F Sillion, S.R. Marschner, and J.E. Lengyel, "Image-based hair capture by inverse lighting," Proc. Graphics Interface, pp.51–58, 2002.
[11] M. Sattler, R Sarlette, and R Klein, "Efficient and realistic visualization of cloth," Proc. Eurographics Symposium on Rendering, pp.167–177, 2003.
[12] M.L. Koudelka, S Magda, P.N. Belhumeur, and D.J. Kriegman, "Acquisition, compression and synthesis of bidirectional texture functions," Proc. 3rd International Workshop on Texture Analysis and Synthesis, pp.59–64, 2003.
[13] N. Tanaka and S. Tominaga, "Measurement of surface reflection properties," IS&T/SID Ninth Color Imaging Conference, pp.52–55, 2001.
[14] S. Tominaga and N. Tanaka, "Refractive index estimation and color image rendering," Pattern Recognition Letters, vol.24, pp.1703–1713, 2003.
[15] H. Haneishi, T Iwanami, T Honma, N Tsumura, and Y Miyake, "Goniospectral imaging of three-dimensional objects," J. Imaging Science and Technology, vol.45, no.6, pp.451–456, 2001.
[16] M. Tsuchida, H Arai, M Nishiko, Y Sakaguchi, T Uchiyama, M Yamaguchi, H Haneishi, and N Ohyama, "Development of BRDF and BTF measurement and computer-aided design systems based on multispectral imaging," Proc. AIC Colour 05—10th Congress of the International Colour Association, pp.129–132, 2005.
[17] A. Kimachi, M Tatsumi, T Tanaka, and S Tominaga, "A goniophotometric system for measuring object surface reflection using robot arms," Proc. Ninth IAPR Conference on Machine Vision Applications, pp.47–50, 2005.
[18] Z. Zhang, "Flexible camera calibration by viewing a plane from unknown orientations," Proc. International Conference on Computer Vision, pp.666–673, 1999.
[19] M.H. Hayes, Statistical Digital Signal Processing and Modeling, Chap.7, John Wiley & Sons, New York, 1996.
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