Abstract
In this paper, we propose a method to measure specular objects regardless occlusion. The main contribution of this paper is that we have shown that the scattering of incident and specular reflection enable us to measure occluded surfaces. We locate objects in a tank filled with participating media, irradiate a laser beam to the objects, and observe the scattering of incident light and specular reflection. Occluded reflecting points of the laser are estimated from the peak pixel; scattering light that has local maximum intensity. Experimental results with a metallic specular plate demonstrate that our method can estimate the 3D position of occluded reflecting point.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ihrke, I., Kutulakos, K.N., Lensch, H., Magnor, M., Heidrich, W.: State of the art in transparent and specular object reconstruction. In: EUROGRAPHICS 2008 STAR-State of the Art Report, pp. 87–108 (2008)
Roth, S., Black, M.J.: Specular flow and the recovery of surface structure. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, NY, USA, pp. 1869–1876 (2006)
Clark, J., Trucco, E., Wolff, L.B.: Using light polarization in laser scanning. Image Vis. Comput. 15(1), 107–117 (1997)
Kutulakos, K.N., Steger, E.: A theory of refractive and specular 3D shape by light-path triangulation. In: Proceedings of IEEE International Conference on Computer Vision (ICCV), Beijing, China, pp. 1448–1455. (2005)
Schultz, H.: Retrieving shape information from multiple images of a specular surface. IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) 16(2), 195–201 (1994)
Morris, N.J.W., Kutulakos, K.N.: Reconstructing the surface of inhomogeneous transparent scenes by scatter-trace photography. In: IEEE 11th International Conference on Computer Vision, ICCV 2007. IEEE (2007)
Velten, A., Willwacher, T., Gupta, O., Veeraraghavan, A., Bawendi, M.G., Raskar, R.: Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging. Nat. Commun. 3, 745 (2012)
Hullin, M.B., Fuchs, M., Ihrke, I., Seidel, H.-P., Lensch, H.P.A.: Fluorescent immersion range scanning. ACM Trans. Graph. 27(3), Article 87 (2008). Univ British Columbia, Vancouver, BCV5Z IM9, Canada
Iiyama, M., Miki, S., Funatomi, T., Minoh, M.: 3D Acqui- sition of Occluded Surfaces from Scattering in Participating Media. In: International Conference on Pattern Recognition (2014)
Narasimhan, S.G., Gupta, M., Donner, C., Ramamoorthi, R., Nayar, S.K., Jensen, H.W.: Acquiring scattering properties of participating media by dilution. ACM Trans. Graph 25(3), 1003–1012 (2006)
Acknowledgement
This work was supported by JSPS KAKENHI Grant Number 26700013.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Hirofuji, Y., Iiyama, M., Funatomi, T., Minoh, M. (2015). 3D Reconstruction of Specular Objects with Occlusion: A Shape-from-Scattering Approach. In: Cremers, D., Reid, I., Saito, H., Yang, MH. (eds) Computer Vision -- ACCV 2014. ACCV 2014. Lecture Notes in Computer Science(), vol 9006. Springer, Cham. https://doi.org/10.1007/978-3-319-16817-3_41
Download citation
DOI: https://doi.org/10.1007/978-3-319-16817-3_41
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16816-6
Online ISBN: 978-3-319-16817-3
eBook Packages: Computer ScienceComputer Science (R0)