Abstract
Stereo matching is a kernel problem in the field of stereo vision. An adaptive cost aggregation strategy based on a generalized bilateral filter model is proposed. The strategy extends range weights of the original bilateral filter by the inner and outer weighted average processes. A pixel is assigned a high range weight to the central pixel not only if the patches of the two pixels are similar but also if the neighboring patches around the two pixels are similar. The final range weights could more accurately reflect the similarities of relevant two pixels. Different cost aggregation methods can be derived from the model by modifying parameters. Experimental results compared with the other state-of-the-art cost aggregation methods demonstrate the effectiveness of our proposed cost aggregation strategy.
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
Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, 7–42 (2002)
Yoon, K.J., Kweon, I.S.: Adaptive support-weight approach for correspondence search. PAMI 28(4), 650–656 (2005)
Tombari, F., Mattoccia, S., Di Stefano, L.: Segmentation-based adaptive support for accurate stereo correspondence. In: Mery, D., Rueda, L. (eds.) PSIVT 2007. LNCS, vol. 4872, pp. 427–438. Springer, Heidelberg (2007)
Gong, M., Yang, R.G., Liang, W., Gong, M.W.: A performance study on different cost aggregation approaches used in real-time stereo matching. Int. Journal Computer Vision 75(2), 283–296 (2007)
Mattoccia, S., Giardino, S., Gambini, A.: Accurate and efficient cost aggregation strategy for stereo correspondence based on approximated joint bilateral filtering. In: Proc. of ACCV 2009 (2009)
Barash, D.: Bilateral Filtering and Anisotropic Diffusion: Towards a Unified Viewpoint. Hewlell-Packard Laboratories Technical Report, HPL-2000-18(R.1) (2000)
Mattoccia, S.: A locally global approach to stereo correspondence. In: Proc. Of ICCV Workshop 2009, pp. 1763–1770 (2009)
Scharstein, D., Szeliski, R.: Stereo matching with nonlinear diffusion. Int. J. of Computer Vision 28(2), 155–174 (1998)
Ari, R.B., Sochen, N.A.: Variational stereo vision with sharp discontinuities and occlusion handling. In: Proc. of ICCV 2007, Rio de Janeiro, Brazil, pp. 1–7. IEEE Computer Society Press, Los Alamitos (2007)
Zimmer, H., Bruhn, A., Valgaerts, L., Breuβ, M., Weickert, J., Rosenhahn, B., Seidel, H.P.: PDE-Based Anisotropic Disparity-Driven Stereo Vision. In: Vision, Modeling, and Visualization 2008: Proceedings, October 8-10 (2008)
Gerrits, M., Bekaert, P.: Local stereo matching with segmentation-based outlier rejection. In: Proc. of CRV 2006, pp. 66–66 (2006)
Veksler, O.: Fast variable window for stereo correspondence using integral images. In: Proc. of CVPR 2003, pp. 556–561 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, L., Zhang, CM., Yan, H. (2010). Cost Aggregation Strategy for Stereo Matching Based on a Generalized Bilateral Filter Model. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16336-4_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-16336-4_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16335-7
Online ISBN: 978-3-642-16336-4
eBook Packages: Computer ScienceComputer Science (R0)