Dr. Jiri MATAS

The Center for Machine Perception, Department of Cybernetics
Faculty of Electrical Engineering, Czech Technical University, Prague

Karlovo namesti 13, 121 35 Praha 2, Czech Republic
Tel.: +420-2-24357212, Fax:+420-2-24357385
E-mail: matas@cmp.felk.cvut.cz           My old home page at U. of Surrey,

Position: Associate Professor
Teaching: Pattern Recognition, Digital Image Processing feedback form
Other: Associate Editor-in-Chief of IEEE T PAMI, Associate Editor of IJCV.
Research Interests: Visual recognition, Sequential decision-making, Pattern recognition, Wide-baseline Matching, Face detection and recognition, Biometric authentication. Dormant: Colour-based recognition, Hough Transform.
Demos
Sequential Correspondence Verification Wide-baseline matching IPSS recognition method
Frontal face detector Face tracking Face verification
Colour-based image retrieval Lip tracking (on M2VTS), Lip tracking (on XM2VTS)
Awards:
2007 Best Paper Prize at Asian Conference on Computer Vision (ACCV). J. Sochman and J. Matas: Learning A Fast Emulator of a Binary Decision Process
2006 My student S. Obdrzalek won the Doctorandus prize for the most innovative PhD work in the Czech Rep.
2005 Best paper prize at BMVC: J. Matas, S. Obdrzalek: Sub-linear Indexing for Large Scale Object Recognition.
2005 The Center for Machine Perception Team I advised of finished second in the ICCV 2005 Contest
2004 Best scientific result prize of the Czech Technical University Prague.
2002 Best paper prize at BMVC: J. Matas et al.: Robust wide baseline stereo from maximally stable extremal regions.
1987 MSc thesis awarded the Chancellor's prize.
Selected publications:
(all publications)
H-index (Thomson): 19
H-index (Harzing): 26
Citations (Thomson): 2600
Karel Zimmermann, Jiri Matas, and Tomas Svoboda. Tracking by an optimal sequence of linear predictors.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(4):677-692, April 2009.
[BibTeX], [PDF]

Jan Cech, Jiri Matas, and Michal Perdoch. Efficient sequential correspondence selection by cosegmentation.
In CVPR 2008: Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, page 8, Madison, USA, June 2008.
[BibTeX], [PDF]

Ondrej Chum and Jiri Matas. Optimal randomized RANSAC.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(8):1472-1482, August 2008.
[BibTeX],

J. Sochman and J. Matas. Learning a fast emulator of a binary decision process.
ACCV 2007. Proceedings 8th Asian Conference on Computer Vision, volume II of LNSC, pages 236-245, November 2007. Springer.
* Sang Uk Lee Outstanding Paper Award. *
[BibTeX], [PDF, 1 MB], [PPT, 4 MB]

K. Mikolajczyk and J. Matas. Improving sift for fast tree matching by optimal linear projection.
ICCV 2007: Proceedings of Eleventh IEEE International Conference on Computer Vision, October 2007.
[BibTeX], pdf [259k]

S. Obdrzalek and J. Matas. Toward Category-Level Object Recognition, chapter 2, pages 85-108. , Springer, 2006.

O. Chum and J. Matas. Geometric hashing with local affine frames.
In Andrew Fitzgibbon, Camillo Taylor, and Yan LeCun, editors, Proc. of Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages 879-884, Los Alamitos, USA, June 2006. IEEE Computer Society. [BibTeX], [pdf]

K Mikolajczyk, T Tuytelaars, C Schmid, A Zisserman, J Matas, F Schaffalitzky, T Kadir, and L van Gool.
A comparison of affine region detectors.
International Journal of Computer Vision, 65(7):43 - 72, November 2005.

Jiri Matas and Ondrej Chum.
Randomized ransac with sequential probability ratio test.
In Songde Ma and Heung-Yeung Shum, editors, Proc. IEEE International Conference on Computer Vision (ICCV), volume II, pages 1727-1732, New York, USA, October 2005. IEEE Computer Society Press. pdf

S. Obdrzálek and J. Matas.
Sub-linear indexing for large scale object recognition.
Proceedings of the British Machine Vision Conference, volume 1, pages 1-10, 2005.
*Awarded the Best Paper Prize *, pdf

M. Hamouz, J. Kittler, JK Kamarainen, P Paalanen, H. Kalviainen, and J. Matas.
Feature-based affine-invariant localization of faces.
I.E.E.E. Transactions on Pattern Analysis and Machine Intelligence, 27(9):1490-1495, September 2005.

O. Chum and J. Matas.
Matching with PROSAC - progressive sample consensus.
Proc. of Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages 220-226, Los Alamitos, California, USA, June 2005. [pdf]

O. Chum, T. Werner, and J. Matas.
Two-view geometry estimation unaffected by a dominant plane. Proc. of Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages 772-780, Los Alamitos, California, USA, June 2005. [pdf]

J. Šochman and J. Matas.
Waldboost - learning for time constrained sequential detection. Proc. of Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, pages 150-157, Los Alamitos, California, USA, June 2005. [pdf]

T. Pajdla and J. Matas, editors.
ECCV 2004: Proceedings of the 8th European Conference on Computer Vision, volume 1/2/3/4 of Lecture Notes in Computer Science, Heidelberg, May 2004. Springer-Verlag.

J. Matas and O. Chum.
Randomized RANSAC with T_d,d test.
Image and Vision Computing, 22(10):837-842, September 2004.

J. Kittler, R. Ghaderi, T. Wideatt, and J. Matas.
Face verification via error correcting output codes.
Image and Vision Computing, 21(13-14):1163-1169, Dec 2003.

J. Matas, O. Chum, U. Martin, and T Pajdla.
Robust wide baseline stereo from maximally stable extremal regions.
Proceedings of the British Machine Vision Conference, volume 1, pages 384-393, 2002.
*Awarded the Best Paper Prize *, matas-bmvc02.pdf,

J. Matas, D. Koubaroulis, and J. Kittler.
The multimodal neighborhood signature for modeling object color appearance and applications in object recognition and image retrieval.
Computer Vision and Image Understanding, 88(1):1-23, October 2002.

K. Jonsson, J. Kittler, Y. P. Li, and J. Matas.
Support vector machines for face authentication.
Image and Vision Computing, 20(5-6):369-375, March 2002.

J. Matas, C. Galambos, and J. Kittler.
Robust detection of lines using progressive probabilistic Hough Transform.
Computer Vision and Image Understanding, 2000.

J. Matas, K. Jonsson, and J. Kittler.
Fast face localisation and verification.
Image and Vision Computing , 17(8):578-581, June 1999.

J. Kittler, M. Hatef, R.P.W Duin, and J. Matas.
On combining classifiers.
IEEE Trans. Pattern Analysis and Machine Intellige nce, 20(3):226 - 239, March 1998.
*More than 550 citations in SCI! *,