Czech Technical University

The Center for Machine Perception @ the Czech Technical University Prague.

logo_cvut-300x228The Centre for Machine Perception (CMP) at the Department of Cybernetics of the Czech Technical University in Prague is a computer vision, pattern recognition, and mathematics of uncertainty research unit. The expertise of the CMP includes fundamentals as well as applications of computer vision, pattern recognition and machine learning including calibrating multi-camera optical systems, stereo reconstruction, omnidirectional and panoramic cameras based on mirrors and lenses, image matching and object recognition in images. Since 1995, CMP closely collaborates with its spin-off company Neovision s.r.o. on developing computer vision applications for industry.

In PRoVisG, CMP will concentrate on applying and further developing main results of computer vision relevant to the project such as geometry of panoramic and omnidirectional sensors, cameras autocalibration, image matching for 3D reconstruction and planning, and organizing and evaluating third party contributions and involvements in the project.

For more information, visit the webpage of T. Pajdla.

Team Members


Dr. Tomas Pajdla
Tomas Pajdla (Ing. and Ph.D. in Electrical Engineering at the Czech Technical University Prague – assistant professor at the CTU since 1995 – has expertise in geometry and algebra of computer vision, eye-hand calibration, precise digital optical measurements, photogrammetry, robot navigation using vision, image matching and object recognition. He co-authored works that introduced epipolar geometry of panoramic and non-central cameras, investigated the use of omnidirectional images in structure from motion and camera pose computation, contributed to studies of panoramic mosaics, contributed to solving the image matching and stereo correspondence problem, and to algebraic techniques in computer vision applied to solving minimal problems. He published more than 50 works in scientific journals and refereed conferences and was awarded prizes at OAGM 1998, BMVC 2002 and ICCV camera localization contest in 2005. T. Pajdla served as a Program Chair of the 8th European Conference on Computer Vision 2004 in Prague and is a member of ECCV Board. He acted as an area chair of ICCV 2005, 2009, CVPR 2006, 2007 ACCV 2006, 2007, and BMVC 2005-2007 and was a co-editor of a special issue of the International Journal on Computer Vision. He is currently responsible at CTU for EU research projects DIRAC (EU FP6-IST-027787), PRoVisG (EU FP7-218814) and PRoViScout (EU FP7 241523).

For more information, visit the webpage of T. Pajdla.