Sorry, we are currently supporting only Firefox and IE browsers in VPA site menus.
Your browser is not supported and you may not make full use of our site.
Sabanci University VPALAB - Computer Vision and Pattern Analysis Lab of
Sabanci University has been established in 2001 with the aim of working
out industrially applicable solutions using computer vision and pattern
analysis techniques that are also theoretically fulfilling. The members
associated with VPALAB have expertise and interest in theoretical and
practical problems in the areas of computer vision and image
processing, pattern recognition, integrated manufacturing systems and
automated quality inspection. The members of the Laboratory work
closely with appropriate university, governmental and private
organizations to foster high-technology growth in the region. This
growth is facilitated through substantive research, from theory to
practical application and the training of skilled graduate and
undergraduate engineers and scientists. The main sources of research
funding for VPALAB include EU FP6 program, EUREKA,
NSF, government agencies and industry. It is clearly recognized that
many of the exciting new developments occurring in the convergent
digital era require a much more integrated, collaborative and
cross-disciplinary approach. In recognition of this, collaborative
efforts at VPALAB not only cross discipline among various faculty
members within the group, but also include other groups (e.g.
Bioinformatics, Material Science, Mechatronics, Microelectronics
programmes of Sabanci University) and other Universities (national and
international).
Research Activities
VPALAB, as proven by its track record, maintains a
sustained flow of research support. The general areas of expertise in
the lab has been evolved around the following topics:
Digital archaeology
(3D shape modeling, automated reconstruction of archaeological
artifacts, multimedial databases for archaeology) (collaborating with
Brown University, Technical University of Vienna)
Ambient Intelligence
Intelligent Vehicles:
Fusion of audio, visual data for driver assistance, fusion of various
sensors in vehicles for driver safety improvement and driver
identification (collaborating with San Diego State University, Nagoya
University, Koc, University, Istanbul Technical University, Ford -
Turkey, Renault A.S. and Tofas (subsidiary of Fiat))
Intelligent man-machine interaction:
Speech recognition (collaborating with CS, AT&T, EL) and sign
language recognition/generation (collaborating with Koc, University sign
language analysis group and Sabanci University mechatronics group)
Pattern recognition for bioinformatics (collaborating with the Biology group of Sabanci University)
The group is involved in various national and
international projects and has won several awards including Interpro
best R&D project award, EUREKA Success Story, the first place at The First International Signature Verification Competition (SVC 2004).
Relationships with Industry and Commerce
Sabanci University's mission
includes directing its research efforts primarily towards applied and
strategic research with the objectives of advancing knowledge,
supporting teaching and contributing to the progress of the community.
Industrial collaboration is recognised as essential to bridge the gap
between basic/strategic and applied research.
(See FESTO and OKAD)
sabanciuniv.edu
