Abstract
In this paper we develop a practical method for estimating shape, color and reflectance using only three images taken under polarised light. We develop a novel and practical framework to optimise the estimates and eliminate the redundant information, then investigate three different methods to compare their class discriminating capacities. We present experiment to demonstrate the validity of the proposed method for a database of fruit objects from 5 different classes, and we show that the proposed method is capable of accurately extracting the features of the input examples. The framework can further be applied in a variety fields of computer vision and pattern recognition domains including object recognition and classification.
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
Gehler, P., Nowozin, S.: On feature combination for multiclass object classification. In: International Conference on Computer Vision, pp. 221–228 (2009)
Nicodemus, F.E., Richmond, J.C., Hsia, J.J., Ginsberg, I.W., Limperis, T.: Geometrical considerations and nomenclature for reflectance. Nbs Monograph 160, 1–52 (1977)
Li, H., Foo, S.C., Torrance, K.E., Westin, S.H.: Automated three-axis gonioreflectometer for computer graphics applications. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol. 5878, pp. 221–231 (2005)
Debevec, P., Hawkins, T., Tchou, C., Duiker, H.P., Sarokin, W., Sagar, M.: Acquiring the reflectance field of a human face. In: Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2000, pp. 145–156 (2000)
Ma, W.C., Hawkins, T., Peers, P., Chabert, C.F., Weiss, M., Debevec, P.: Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination. Rendering Techniques (9), 183–194 (2007)
Nayar, S.K., Fang, X.S., Boult, T.: Separation of Reflection Components using Color and Polarization. International Journal of Computer Vision 21(3), 163–186 (1997)
Wolff, L.B., Boult, T.E.: Constraining object features using a polarization reflectance model. IEEE Transactions on Pattern Analysis and Machine Intelligence 13, 635–657 (1991)
Zhang, L., Hancock, E., Atkinson, G.: Reflection component separation using statistical analysis and polarisation. IbPRIA, 476–483 (2011)
Wu, J., Smith, W.A.P., Hancock, E.R.: Gender discriminating models from facial surface normals. Pattern Recognition 44(12), 2871–2886 (2011)
Shafer, S.A.: Using color to separate reflection components. Color Research & Application 10(4), 210–218 (1985)
Torrance, K.E., Sparrow, E.M.: Theory for off-specular reflection from roughened surfaces. Journal of the Optical Society of America 57(9), 1105–1112 (1967)
Zhang, L., Hancock, E. R.: Robust Shape and Polarisation Estimation Using Blind Source Separation. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds.) CAIP 2011, Part I. LNCS, vol. 6854, pp. 178–185. Springer, Heidelberg (2011)
Smith, W., Hancock, E.R.: Recovering face shape and reflectance properties from single images. In: International Conference on Automatic Face & Gesture Recognition, pp. 1–8 (2008)
Zhang, C., Wang, P.: A new method of color image segmentation based on intensity and hue clustering. In: International Conference on Pattern Recognition, vol. 3, pp. 613–616 (2000)
Kovesi, P.: Shapelets correlated with surface normals produce surfaces. In: International Conference on Computer Vision, vol. 2, pp. 994–1001 (2005)
Atkinson, G.A., Hancock, E.R.: Recovery of surface orientation from diffuse polarization. IEEE Transactions on Image Processing 15(6), 1653–1664 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, L., Hancock, E.R., Wu, J. (2012). Estimating Surface Characteristics and Extracting Features from Polarisation. In: Gimel’farb, G., et al. Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2012. Lecture Notes in Computer Science, vol 7626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34166-3_44
Download citation
DOI: https://doi.org/10.1007/978-3-642-34166-3_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34165-6
Online ISBN: 978-3-642-34166-3
eBook Packages: Computer ScienceComputer Science (R0)