Abstract
While subsurface scattering is common in many real objects, almost all separation algorithms focus on extracting specular and diffuse components from real images. In this paper, we propose an appearance-based approach to separate non-directional subsurface scattering reflectance from photometric images, in addition to the separation of the off-specular and non-Lambertian diffuse components. Our mathematical model sufficiently accounts for the photometric response due to non-directional subsurface scattering, and allows for a practical image acquisition system to capture its contribution. Relighting the scene is possible by employing the separated reflectances. We argue that it is sometimes necessary to separate subsurface scattering component, which is essential to highlight removal, when the object reflectance cannot be modeled by specular and diffuse components alone.
This work is supported by the Research Grant Council of Hong Kong Special Administration Region, China: HKUST6193/02E.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Cook, R.L., Torrance, K.E.: A reflectance model for computer graphics. Computer Graphics 15, 307–316 (1981)
Hanrahan, P., Krueger, W.: Reflection from layered surfaces due to subsurface scattering. In: SIGGRAPH 1993, pp. 165–174 (1993)
Hertzmann, A., Seitz, S.M.: Shape and materials by example: a photometric stereo approach. In: CVPR 2003, pp. I:533–540 (2003)
Jensen, H.W., Marschner, S.R., Levoy, M., Hanrahan, P.: A practical model for subsurface light transport. In: SIGGRAPH 2001, pp. 511–518 (2001)
Lafortune, E.P.F., Foo, S., Torrance, K.E., Greenberg, D.P.: Non-linear approximation of reflectance function. In: SIGGRAPH 1997, pp. 117–126 (1997)
Lin, S., Lee, S.: Estimation of diffuse and specular appearance. In: ICCV 1999, pp. 855–860 (1999)
Lin, S., Lee, S.: A representation of specular appearance. In: ICCV 1999, pp. 849–854 (1999)
Lin, S., Lee, S.W.: An appearance representation for multiple reflection components. In: CVPR 2000, pp. I: 105–110 (2000)
Oren, M., Nayar, S.K.: Generalization of the lambertian model and implications for machine vision. IJCV 14(3), 227–251 (1995)
Poulin, P., Fournier, A.: A model for anisotropic reflection. Computer Graphics 24(4), 273–282 (1990)
Ragheb, H., Hancock, E.R.: Highlight removal using shape-from-shading. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2351, pp. 626–641. Springer, Heidelberg (2002)
Shashua, A.: Geometry and photometry in 3d visual recognition. In: MIT AI-TR (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wu, TP., Tang, CK. (2004). Separating Specular, Diffuse, and Subsurface Scattering Reflectances from Photometric Images. In: Pajdla, T., Matas, J. (eds) Computer Vision - ECCV 2004. ECCV 2004. Lecture Notes in Computer Science, vol 3022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24671-8_33
Download citation
DOI: https://doi.org/10.1007/978-3-540-24671-8_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21983-5
Online ISBN: 978-3-540-24671-8
eBook Packages: Springer Book Archive