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.
Username: Password:
Menu 
VPA
Computer Vision And Pattern Analysis Laboratory Home Page  Home
People  People
Publications  Publications
Publications  Databases
Contact Information  Contact
Research
Supported Research Projects  Supported Research Projects
Research Activites  Research Activites
Research Groups
SPIS - Signal Processing and Information Systems Lab.SPIS - Signal Processing and Information Systems Lab.
Medical Vision and Analysis Group  Medical Research Activities
Biometrics Research Group  Biometrics Research Group
Knowledge Base
  Paper Library
  VPA Lab Inventory
  Databases in VPALAB
  Recordings
Calendar
<<November 2014>>
Mo Tu We Th Fr Sa Su
1 2
3 4 5 6 7 8 9
10 11 12 13 14 15 16
17 18 19 20 21 22 23
24 25 26 27 28 29 30
Upcoming Events:
None

Welcome to VPA
Sabanci University
Computer Vision and Pattern Analysis Laboratory




Apply to VPA NOW!

Introduction

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:
  • Intelligent Manufacturing (invariant object recognition, web inspection, automated tolerance inspection, surface quality inspection, etc.)
  • Biometrics (face recognition, voice recognition, fingerprint recognition, signature recognition, hand shape recognition, multimodal biometrics)
  • 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)

News <<
Mujdat Cetin joins the editorial board of the IEEE Transactions on Image Processing
2014/09
Müjdat Çetin has been appointed as an Associate Editor for the IEEE Transactions on Image Processing. IEEE Transactions on Image processing is the leading international journal in the field of image formation, processing, and analysis. As a member of the editorial board, Müjdat Çetin will conduct the review process of articles on topics such as radar imaging, tomographic imaging, image segmentation, sparse image representation, and biomedical image analysis.
Research Assistant Positions in Microscopic Image Analysis of Neurons
2014/04


Research Assistantships  available for graduate  (M.S.  or Ph.D.) students at Bahçeşehir  University
& Sabancı University

We are looking for ambitious, hard-working, and committed graduate  students  from  Electrical & Electronics Engineering, Computer Engineering,  Biomedical Engineering or Mechatronics Engineering disciplines to fill in the following positions:

One Ph.D Student (available immediately)

36-months research assistantship on the topic of segmentation, clustering, classification, and tracking of dendritic spines from two-photon microscopy images. Background on signals and systems, image analysis,  probability  theory, and machine learning  is expected. Strong software skills (Matlab or C/C++) and good communication skills in English (both oral and written) are required.

One M.S. Student (available immediately)

24-months research assistantship  on the topic of  segmentation and classification   of dendritic spines from  two-photon  microscopy  images.  The candidate will closely collaborate with Ph.D. students working on the same project.  Background on signals and systems and probability theory as well as interest in image processing is expected.  Strong software skills (Matlab  or  C/C++) and good communication skills in English (both oral and written) are required.

Interested candidates should contact  Prof. Devrim Ünay  (devrim.unay@bahcesehir.edu.tr)  or Prof. Müjdat Çetin  (mcetin@sabanciuniv.edu)  and send a  detailed resume,  undergraduate  (and  if applicable graduate) transcript, a brief statement of research experience and interests, GRE (or ALES) and English Proficiency Exam test results,  copies of  publications (if applicable), and the names and contact information of two references.

They should also apply for graduate study at  Bahçeşehir University  (see http://www.bahcesehir.edu.tr/academic/academic/graduadeschoolofnaturelandappliedsciences/onlineapplication) or Sabancı University (see http://fens.sabanciuniv.edu/eng/?Basvuru/lisansustuBasvuru.html)

For information on Prof. Ünay’s and Prof. Çetin’s recent work and publications, please see
http://staff.eng.bahcesehir.edu.tr/~unay/ and http://spis.sabanciuniv.edu

2013 Turkey's Woman Entrepreneur Award
to Prof. Aytul Ercil
2013/09
Prof. Aytul Ercil has received the "2013 Turkey's Woman Entrepreneur Award" in the "2013 Turkey's Woman Entrepreneur Competition" which is organized by Garanti Bank, Ekonomist magazine and the Women Entrepreneurs Association of Turkey (KAGİDER) .
Sadegh Samadi and Müjdat Çetin
receive the
IET Premium Award
2013/08



VPA member Müjdat Çetin and former VPA visiting researcher Sadegh Samadi, together with Mohammad Ali Masnadi-Shirazi, have received the 2013 IET Radar, Sonar & Navigation Premium Award for the paper:

Sparse representation-based synthetic aperture radar imaging, S. Samadi, M. Cetin, M.A. Masnadi-Shirazi, IET Radar, Sonar & Navigation, volume 5, issue 2, pp. 182 – 193, 2011.

The Institution of Engineering and Technology (IET) is Europe's biggest professional society for the engineering and technology community, with more than 154,000 members in 127 countries. Each year the IET awards a prize to the authors of the best paper published within the last two years in each of the IET’s journals. The winners of the 2013 IET Premium Awards are listed on:

http://www.theiet.org/resources/journals/premium-awards.cfm

Achievement of Aytul Ercil
2012/12



Aytul Ercil has been elected an executive committe member of the IAPR (International Association of Pattern Recognition) again.