Abstract
This paper deals with the reconstruction of original image structure in the presence of local disturbances such as specular reflections. It presents two novel schemes for their elimination with respect to the local image structure: an efficient linear interpolation scheme and an iterative filling-in approach employing anisotropic diffusion. The algorithms are evaluated on images of the heart surface and are suited to support tracking of natural landmarks on the beating heart.
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.
References
Gavin Brelstaff and Andrew Blake. Detecting specular reflections using lambertian constraints. In Proc. 2nd Int’l Conf. on Computer Vision (ICCV), pages 297–302. IEEE, 1988.
B. Fischl and E.L. Schwarz. Learning an intergral equation approximation to nonlinear anisotropic diffusion in image processing. Technical Report CAS/CNS-95-033, Boston Univ. Center for Adaptive Systems, Dec. 1995.
M. Gröger, T. Ortmaier, W. Sepp, and G. Hirzinger. Tracking local motion on the beating heart. In FIMH 2001: Int’l Workshop on Functional Imaging and Modeling of the Heart, Helsinki, Finland, Nov. 2001. submitted.
Martin Gröger. Robust tracking of natural landmarks of the beating heart. Technical report, German Aerospace Centre (DLR), Institute of Robotics and Mechatronics, 2000.
Heiko Neumann and Luiz Pessoa. Visual filling-in and surface property reconstruction. Technical Report 98-04, Universität Ulm, Fakultät för Informatik, Feb. 1998.
T. Ortmaier, D. Reintsema, U. Seibold, U. Hagn, and G. Hirzinger. The DLR minimally invasive robotics surgery scenario. In J. Hoogen G. Färber, editor, Proceedings of the Workshop on Advances in Interactive Multimodal Telepresence Systems, pages 135–147, Munich, Germany, March 2001.
William H. Press, Saul A. Teukolsky, William T. Vetterling, and Brian P. Flannery. Numerical Recipes in C: The Art of Scientific Computing. Cambridge University Press, 2nd edition, 1993.
Wolfgang Sepp and Heiko Neumann. A multi-resolution filling-in model for brightness perception. In ICANN99: Ninth International Conference on Artificial Neural Networks, volume 1, pages 461–466. IEE, London, 1999.
Andrey Tikhonov and Vasily Arsenin. Solution of Ill-Posed Problems. V. H. Winston & Sons, Washington, D.C., 1977.
Joachim Weickert. Anisotropic Diffusion in Image Processing. B.G. Teubner, Stuttgart, 1998.
Laurence B. Wolf. On the relative brightness of specular and diffuse reflection. In Proceedings Conference Computer Vision and Pattern Recognition, pages 369–376. IEEE, 1994.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gröger, M., Sepp, W., Ortmaier, T., Hirzinger, G. (2001). Reconstruction of Image Structure in Presence of Specular Reflections. In: Radig, B., Florczyk, S. (eds) Pattern Recognition. DAGM 2001. Lecture Notes in Computer Science, vol 2191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45404-7_8
Download citation
DOI: https://doi.org/10.1007/3-540-45404-7_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42596-0
Online ISBN: 978-3-540-45404-5
eBook Packages: Springer Book Archive