Call for Papers: IEEE Journal of Selected Topics in Signal Processing - Special Issue on
Emerging Techniques in 3D: 3D Data Fusion, Motion Tracking in Multi-View Video, 3DTV Archives and 3D Content Protection
This page provides an overview of the research activity concerned with stereo vision and aimed at developing:
- Accurate and fast algorithms
for dense stereo correspondence
- Accurate 3D sensing based on FPGAs and embedded devices
- the first prototype of a custom designed stereo camera with real-time FPGA-based onboard processing is ready and under testing
- Computer vision applications that rely on
dense
depth measurements (e.g. 3D people tracking and counting, 3D change
detection, etc)
- Accurate range sensing and fusion of 3D sensors data
If you are interested in stereo vision, you might find interesting this recent seminar (updated Feb 17, 2012):
Stefano Mattoccia
"Stereo vision: algorithms and applications" [
]VIALAB Bologna, November 2011
If you have any questions feel free to contact me:
Stefano Mattoccia at:
If you are looking for rectified stereo sequences follow this link.
- Linear Stereo Matching (ICCV 2011)
L. De-Maeztu, S. Mattoccia, A. Villanueva, R. Cabeza, "Linear stereo matching",
International Conference on Computer Vision (ICCV 2011), November 6-13, 2011, Barcelona, Spain [Pdf][Supplementary Material] [Bibtex]
Additional experimental results concerned with this paper are available here - A novel hetereogeneous framework for stereo matching (IPVC 2011)
L. De-Maeztu, S. Mattoccia, A. Villanueva, R. Cabeza, "A novel heterogeneous framework for stereo matching",
International Conference on Image Processing, Computer Vision and Pattern Recognition (IPVC2011), July 18-21, 2011, Las Vegas, USA [Pdf] [Bibtex] - Near real-time Fast Bilateral Stereo on the GPU (ECVW 2011)
Additional experimental results concerned with this paper are available here
S. Mattoccia, M. Viti, F. Ries, "Near real-time Fast Bilateral Stereo on the GPU"
7th IEEE Workshop on Embedded Computer Vision (ECVW20011), CVPR Workshop, June 20, 2011, Colorado Springs (CO), USA [Pdf] [Bibtex] Best Paper Award - Accurate dense stereo by constraining local consistency on superpixels (ICPR 2010)
Additional experimental results concerned with this paper are available here
S. Mattoccia, "Accurate dense stereo by constraining local consistency on superpixels"
20th International Conference on Pattern Recognition (ICPR2010), August 23-26, 2010, Istanbul, Turkey [Pdf] [Bibtex] - Fast locally consistent dense stereo on multicore (ECVW 2010)
Additional experimental results concerned with this paper are available here
S. Mattoccia, "Fast locally consistent dense stereo on multicore"
Sixth IEEE Embedded Computer Vision Workshop (ECVW2010), CVPR workshop, June 13, 2010, San Francisco, USA [Pdf] [Supplemental][Bibtex] - Improving
the accuracy of fast dense stereo correspondence algorithms by
enforcing local consistency of disparity fields (3DPVT 2010)
Additional experimental results concerned with this paper are available here
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] [Supplemental] [Bibtex] - A locally global approach to stereo correspondence (3DIM 2009)
Additional experimental results concerned with the Locally Consistent (LC) approach proposed in this paper are available here
Evaluation on the Middlebury dataset (algorithm "LocallyConsistent") available here (link to evaluation)
A comparison with state-of-the-art local approaches is available here
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] [] [Bibtex] - Accurate
and efficient cost aggregation strategy for stereo correspondence based
on approximated joint bilateral filtering (ACCV 2009)
Additional experimental results concerned with the Fast Bilateral Stereo (FBS) algorithm are available here
Evaluation on the Middlebury dataset (algorithm "FastBilteral") available here (link to evaluation)
A comparison with state-of-the-art local approaches is available here
S. Mattoccia, S. Giardino, A. Gambini, "Accurate and efficient cost aggregation strategy for stereo correspondence based on approximated joint bilateral filtering"
9th Asian Conference on Computer Vision (ACCV2009), September 23- 27, 2009, Xi'an, China[][Bibtex] [Software, updated August 12th, 2010] - Near real-time stereo based on effective cost aggregation (ICPR 2008)
Additional experimental results are available here
Evaluation on the Middlebury [4] data set ("FastAggreg") is available here (link to evaluation)
F. Tombari, S. Mattoccia, L. Di Stefano, E. Addimanda,“Near real-time stereo based on effective cost aggregation"
International Conference on Pattern Recognition (ICPR 2008), December 8-11, 2008, Tampa, Florida, USA [] [Bibtex]
- Evaluation of cost aggregation strategies for dense stereo matching (CVPR 2008)
Experimental (SAD, TAD, SSD, Original) are available here
Software (Show Support) is available at the same location.
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), June 24-26, 2008, Anchorage, Alaska [] [Bibtex] - Accurate stereo matching based on scanline optimization and adaptive support (ACCV2007)
Preliminary results here
Evaluation on the Middlebury dataset here (algorithm "SO+borders") available here (link to evaluation)
S. Mattoccia, F. Tombari, L. Di Stefano, “Stereo vision enabling precise border localization within a scanline optimization framework"
8th Asian Conference on Computer Vision (ACCV 2007), November 18-22, Tokyo, Japan []
[Bibtex]
- Segmentation-based
adaptive support for accurate stereo correspondence (PSIVT2007)
Experimental results available here
Evaluation on the Middlebury dataset (algorithm "Segment Support") available here (link to evaluation)
F. Tombari, S. Mattoccia, L. Di Stefano, "Segmentation-based adaptive support for accurate stereo correspondence"
IEEE Pacific-Rim Symposium on Image and Video Technology (PSIVT 2007), December 17-19, Santiago, Chile [] [Bibtex]
- Real-time
stereo based on the uniqueness constraint (IVC 2004) and applications
(3D people tracking/counting, 3D change detection)
Experimental results and applications concerned with the Single Matching Phase (SMP) algorithm are available here
In the same page you may find also rectified stereo sequences and disparity maps computed with the SMP algorithm.
L. Di Stefano, M. Marchionni, S. Mattoccia, “A fast area-based stereo matching algorithm”
Image and Vision Computing (IVC) 22(12), pp 983-1005, October 2004 []
[Bibtex]