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Combination Photometric Stereo Using Compactness of Albedo and Surface Normal in the Presence of Shadows and Specular Reflection

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Computer Analysis of Images and Patterns (CAIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9256))

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Abstract

We present a novel combination photometric stereo which can estimate surface normals precisely even for images including shadows and specular reflection. We can use photometric stereo if there are more than three input images. Therefore we can employ photometric stereo with \(_n C_3\) combinations for n input images. We make 3D distribution of albedos and surface normals estimated from pixel intensities of \(_n C_3\) pixel combinations. In the distribution, we define a novel value “compactness” to distinguish pixels which are included in neither shadows nor specular reflection from pixels which are included in shadows or specular reflection. Through experimental results, we demonstrate that the proposed method can estimate surface normals in the presence of shadows and specular reflection. Moreover the proposed method is superior to previous works in better accuracy.

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References

  1. Chung, H., Jia, J.: Efficient photometric stereo on glossy surface with wide specular lobes. In: Proc. 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), June 2008

    Google Scholar 

  2. Hernández, C., Vogiatzis, G., Cipolla, R.: Overcoming shadows in 3-source photometric stereo. IEEE Trans. Pattern Analysis and Machine Intelligence 33(2), 419–426 (2011)

    Article  Google Scholar 

  3. Barsky, S., Petrou, M.: The 4-source photometric stereo technique for three-dimensional surface in the presence of highlights and shadows. IEEE Trans. Pattern Analysis and Machine Intelligence 25(10), 1239–1252 (2003)

    Article  Google Scholar 

  4. Chandraker, M., Agarwal, S., Kriegman, D.: Shadowcuts: photometric stereo with shadows. In: Proc. 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), June 2007

    Google Scholar 

  5. Dulac, A., Martedi, S., Saito, H., Tezuka, K., Shimizu, M.: Combination method: photometric stereo with shadows. In: Proc. 2014 Irish Machine Vision and Image Processing (IMVIP2014), pp. 137–142, August 2014

    Google Scholar 

  6. Miyazaki, D., Ikeuchi, K.: Photometric stereo using graph cut and m-estimation for a virtual tumulus in the presence of highlights and shadows. In: Proc. Workshop on Applications of Computer Vision in Archaeology (ACVA2010), pp. 70–77, June 2010

    Google Scholar 

  7. Miyazaki, D., Hara, K., Ikeuchi, K.: Median photometric stereo as applied to the segonko tumulus and museum objects. International Journal of Computer Vision 86(2–3), 229–242 (2010)

    Article  Google Scholar 

  8. Xu, J., Pachauri, D.: Project 3: photometric stereo, January 17, 2015. http://pages.cs.wisc.edu/~jiaxu/projects/Stereo/

  9. Woodham, R.J.: Photometric method for determining surface orientation from multiple images. Optical Engineering 19(1), 139–144 (1980)

    Article  Google Scholar 

  10. POV-Ray, January 21, 2015. http://www.povray.org/

  11. ARTIST-3D.COM, January 21, 2015. http://artist-3d.com/

  12. Xiong, Y., Chakrabarti, A., Basri, R., Gortler, S.J., Jacobs, D.W., Zickler, T.: From shading to local shape. IEEE Trans. Pattern Analysis and Machine Intelligence 37(1), 67–79 (2015)

    Article  Google Scholar 

  13. Horn, B.K.P.: Robot Vision. The MIT Press, Massachusetts (1986)

    Google Scholar 

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Correspondence to Naoto Ienaga .

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© 2015 Springer International Publishing Switzerland

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Ienaga, N., Saito, H., Tezuka, K., Iwamura, Y., Shimizu, M. (2015). Combination Photometric Stereo Using Compactness of Albedo and Surface Normal in the Presence of Shadows and Specular Reflection. In: Azzopardi, G., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2015. Lecture Notes in Computer Science(), vol 9256. Springer, Cham. https://doi.org/10.1007/978-3-319-23192-1_37

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  • DOI: https://doi.org/10.1007/978-3-319-23192-1_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23191-4

  • Online ISBN: 978-3-319-23192-1

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