Abstract
We show how to cast the problem of specularity subtraction as blind source separation from polarisation images. We commence by summarizing the relationships between the specular and diffuse reflection components for polarised images. We show how to use singular value decomposition for component separation. In particular, we show how reliable results can be obtained using three images acquired with different polariser angles under diffuse reflection. The proposed method can be used as the preprocessing step in shape from shading, segmentation, reflectance estimation and many other computer vision applications.
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Atkinson, G., Hancock, E.: Shape estimation using polarization and shading from two views. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(11), 2001–2017 (2007)
Atkinson, G., Hancock, E.: Two-dimensional BRDF estimation from polarisation. Computer Vision and Image Understanding 111(2), 126–141 (2008)
Bronstein, A., Bronstein, M., Zibulevsky, M., Zeevi, Y.: Sparse ICA for blind separation of transmitted and reflected images. International Journal of Imaging Systems and Technology 15(1), 84–91 (2005)
Farid, H., Adelson, E.: Separating reflections and lighting using independent components analysis. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 262–267 (1999)
Forsyth, D., Ponce, J.: Computer Vision: A Modern Approach. Prentice Hall, New York (2003)
Kisilev, P., Zibulevsky, M., Zeevi, Y., Pearlmutter, B.: Multiresolution framework for blind source separation. Technical Report CCIT 317 (June 2001)
Lin, S., Lee, S.: Estimation of diffuse and specular appearance. In: Proceedings of the International Conference on Computer Vision, vol. 2, pp. 855–861 (1999)
Ma, W., Hawkins, T., Peers, P., Chabert, C., Weiss, M., Debevec, P.: Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination. In: Rendering Techniques 2007: 18th Eurographics Workshop on Rendering, pp. 183–194 (June 2007)
Miyazaki, D., Kagesawa, M., Ikeuchi, K.: Transparent surface modeling from a pair of polarization images. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(1), 73–82 (2004)
Morel, O., Meriaudeau, F., Stolz, C., Gorria, P.: Polarization imaging applied to 3D reconstruction of specular metallic surfaces. In: Electronic Imaging, vol. 5679, pp. 178–186 (2005)
Nayar, S., Fang, X., Boult, T.: Separation of Reflection Components using Color and Polarization. International Journal of Computer Vision 21(3), 163–186 (1997)
Ragheb, H., Hancock, E.: 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)
Rahmann, S., Canterakis, N.: Reconstruction of specular surfaces using polarization imaging. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 149–156 (2001)
Umeyama, S., Godin, G.: 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 26(5), 639–647 (2004)
Wolff, L.: Polarization vision: a new sensory approach to image understanding. Image and Vision Computing 15(2), 81–93 (1997)
Wolff, L., Boult, T.: Constraining object features using a polarization reflectance model. IEEE Transactions on Pattern Analysis and Machine Intelligence 13, 635–657 (1991)
Wu, T.-P., Tang, C.-K.: Separating specular, diffuse, and subsurface scattering reflectances from photometric images. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3022, pp. 419–433. Springer, Heidelberg (2004)
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Zhang, L., Hancock, E.R., Atkinson, G.A. (2011). Reflection Component Separation Using Statistical Analysis and Polarisation. In: Vitrià , J., Sanches, J.M., Hernández, M. (eds) Pattern Recognition and Image Analysis. IbPRIA 2011. Lecture Notes in Computer Science, vol 6669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21257-4_59
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DOI: https://doi.org/10.1007/978-3-642-21257-4_59
Publisher Name: Springer, Berlin, Heidelberg
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