Abstract
We present a method for the reconstruction of a specular surface, using a single camera viewpoint and the reflection of a planar target placed at two different positions. Contrarily to most specular surface reconstruction algorithms, our method makes no assumption on the regularity or continuity of the specular surface, and outputs a set of 3D points along with corresponding surface normals, all independent from one another. A point on the specular surface can be reconstructed if its corresponding pixel in the image has been matched to its source in both of the target planes. We present original solutions to the problem of dense point matching and planar target pose estimation, along with reconstruction results in real-world scenarii.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Chen, F., Brown, G.M., Song, M.: Overview of three-dimensional shape measurement using optical methods. Optical Engineering 39 (2000)
Blake, A., Brelstaff, G.: Geometry from specularities. In: Second International Conference on Computer Vision (Tampa, FL), Washington, DC, pp. 394–403. Computer Society Press (1988)
Zisserman, A., Giblin, P., Blake, A.: The information available to a moving observer from specularities. Image and Vision Computing 7, 38–42 (1989)
Oren, M., Nayar, S.K.: A theory of specular surface geometry. In: International Conference on Computer Vision, pp. 740–747 (1995)
Zheng, J.Y., Murata, A.: Acquiring 3D object models from specular motion using circular lights illumination. In: Procedings of the Sixth International Conference on Computer Vision (ICCV 1998), pp. 1101–1108 (1998)
Halstead, M., Barsky, B., Klein, S., Mandell, R.: Reconstructing curved surfaces from specular reflection patterns using spline surface fitting of normals. In: SIGGRAPH 1996 Conference Proceedings, pp. 335–342 (1996)
Tarini, M., Lensch, H., Goesele, M., Seidel, H.: 3D acquisition of mirroring objects. In: Research Report MPI-I-2003-4-001, Max-Planck-Institut für Informatik (2003)
Solem, J.E., Aanæs, H., Heyden, A.: A variational analysis of shape from specularities using sparse data. In: 3DPVT, pp. 26–33. IEEE Computer Society, Los Alamitos (2004)
Savarese, S., Chen, M., Perona, P.: Recovering local shape of a mirror surface from reflection of a regular grid. In: European Conference on Computer Vision (2004)
Bonfort, T., Sturm, P.: Voxel carving for specular surfaces. In: International Conference on Computer Vision, pp. 591–596 (2003)
Grossberg, M., Nayar, S.: A general imaging model and a method for finding its parameters. In: International Conference on Computer Vision, pp. 108–115 (2001)
Sturm, P., Ramalingam, S.: A generic concept for camera calibration. In: Proceedings of the European Conference on Computer Vision, vol. 2, pp. 1–13. Springer, Heidelberg (2004)
Scharstein, D., Szeliski, R.: High-accuracy stereo depth maps using structured light. In: CVPR (1), pp. 195–202. IEEE Computer Society, Los Alamitos (2003)
Haralick, R., Lee, C., Ottenberg, K., Nolle, M.: Review and analysis of solutions of the three point perspective pose estimation problem. IJCV 13, 331–356 (1994)
Sturm, P.: Algorithms for plane-based pose estimation. In: Proceedings of the Conference on Computer Vision and Pattern Recognition, Hilton Head Island, South Carolina, USA, pp. 1010–1017 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bonfort, T., Sturm, P., Gargallo, P. (2006). General Specular Surface Triangulation. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612704_87
Download citation
DOI: https://doi.org/10.1007/11612704_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31244-4
Online ISBN: 978-3-540-32432-4
eBook Packages: Computer ScienceComputer Science (R0)