Improving the accuracy of fast dense stereo correspondence algorithms by enforcing local consistency of disparity fields (3DPVT 2010)

S. Mattoccia, "Improving the accuracy of fast dense stereo correspondence algorithms by enforcing local consistency of disparity fields", 3D Data Processing, Visualization and Transmission (3DPVT2010), May 17-20, 2010, Paris, France [Pdf] [Supplementay_material] [Bibtex] [Additional experimental results]
This method relies on the Locally Consistent technique [1] (see here for details) and the initial disparity hypotheses provided by fast dense stereo algorithms (tested with C-Semiglobal [6] and RealTimeGPU [7]).

Under construction...

If you are interested in stereo vision, you might find interesting this:

    Stefano Mattoccia
    "Stereo vision: algorithms and applications"
    Extended version of the talk given at the University of Twente, April 1st 2009

If you have any question feel free to contact me at:

Stefano Mattoccia, email: smatt AT ieee DOT org


[1] S. Mattoccia, "A locally global approach to stereo correspondence", IEEE Workshop on 3D Digital Imaging and Modeling  (3DIM2009), October 3-4, 2009, Kyoto, Japan [Abstract] [Pdf] [Bibtex]

[2] S. Mattoccia, S. Giardino, A. Gambini, "Accurate and efficient cost aggregation strategy for stereo correspondence based on approximated joint bilateral filtering", Asian Conference on Computer Vision (ACCV2009), September 23- 27, 2009,  Xi'an, China, [Abstract] [Pdf] [Bibtex] [WEB]

[3] D. Scharstein and R. Szeliski, "A taxonomy and evaluation of dense two-frame stereo correspondence algorithms",International Journal of Computer Vision, 47(1/2/3):7-42, April-June 2002 / Microsoft Research Technical Report MSR-TR-2001-81, November 2001

[4] D. Scharstein and R. Szeliski, Middlebury Stereo Vision Page, URL: "vision.middlebury.edu/stereo/"

[5] F. Tombari, S. Mattoccia, L. Di Stefano, E. Addimanda, “Classification and evaluation of cost aggregation methods for stereo correspondence",  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008.

[6] H. Hirschmüller, "Stereo vision in structured environments by consistent semi-global matching", CVPR 2006, PAMI 30(2):328-341, 2008

[7] L. Wang, M. Liao, M. Gong, R. Yang, and D. Nistér, "High-quality real-time stereo using adaptive cost aggregation and dynamic programming", 3DPVT 2006


last update on: May 27, 2010