Abstract
To date, various techniques of shape reconstruction using cast shadows have been proposed. The techniques have the advantage that they can be applied to various scenes including outdoor scenes without using special devices. Previously proposed techniques usually require calibration of camera parameters and light source positions, and such calibration processes make the application ranges limited. If a shape can be reconstructed even when these values are unknown, the technique can be used to wider range of applications. In this paper, we propose a method to realize such a technique by constructing simultaneous equations from coplanarities and metric constraints, which are observed by cast shadows of straight edges and visible planes in the scenes, and solving them. We conducted experiments using simulated and real images to verify the technique.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kriegman, D.J., Belhumeur, P.N.: What shadows reveal about object structure. Journal of the Optical Society of America 18(8), 1804–1813 (2001)
Bartoli, A., Sturm, P.: Constrained structure and motion from multiple uncalibrated views of a piecewise planar scene. International Journal of Computer Vision 52(1), 45–64 (2003)
Kawasaki, H., Furukawa, R.: Dense 3d reconstruction method using coplanarities and metric constraints for line laser scanning. In: 3DIM 2007. Proceedings of the 5th international conference on 3-D digital imaging and modeling (2007)
Sugihara, K.: Machine interpretation of line drawings. MIT Press, Cambridge, MA, USA (1986)
Shafer, S.A., Kanade, T.: Using shadows in finding surface orientations. Computer Vision, Graphics, and Image Processing 22(1), 145–176 (1983)
Hambrick, L.N., Loew, M.H., Carroll, J.R.L.: The entry exit method of shadow boundary segmentation. PAMI 9(5), 597–607 (1987)
Hatzitheodorou, M., Kender, J.: An optimal algorithm for the derivation of shape from shadows. CVPR, 486–491 (1988)
Raviv, D., Pao, Y., Loparo, K.A.: Reconstruction of three-dimensional surfaces from two-dimensional binary images. IEEE Trans. on Robotics and Automation 5(5), 701–710 (1989)
Daum, M., Dudek, G.: On 3-d surface reconstruction using shape from shadows. CVPR, 461–468 (1998)
Savarese, S., Andreetto, M., Rushmeier, H., Bernardini, F., Perona, P.: 3d reconstruction by shadow carving: Theory and practical evaluation. IJCV 71(3), 305–336 (2007)
Bouguet, J.Y., Perona, P.: 3D photography on your desk. In: ICCV, pp. 129–149 (1998)
Bouguet, J.Y., Weber, M., Perona, P.: What do planar shadows tell about scene geometry? CVPR 01, 514–520 (1999)
Caspi, Y., Werman, M.: Vertical parallax from moving shadows. In: CVPR, pp. 2309–2315. IEEE Computer Society, Washington, DC, USA (2006)
Jiang, C., Ward, M.O.: Shadow segmentation and classification in a constrained environment. CVGIP: Image Underst. 59(2), 213–225 (1994)
Salvador, E., Cavallaro, A., Ebrahimi, T.: Cast shadow segmentation using invariant color features. Comput. Vis. Image Underst. 95(2), 238–259 (2004)
Sato, K., Inokuchi, S.: Range-imaging system utilizing nematic liquid crystal mask. In: Proc. of FirstICCV, pp. 657–661 (1987)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kawasaki, H., Furukawa, R. (2007). Shape Reconstruction from Cast Shadows Using Coplanarities and Metric Constraints. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds) Computer Vision – ACCV 2007. ACCV 2007. Lecture Notes in Computer Science, vol 4844. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76390-1_83
Download citation
DOI: https://doi.org/10.1007/978-3-540-76390-1_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76389-5
Online ISBN: 978-3-540-76390-1
eBook Packages: Computer ScienceComputer Science (R0)