Berk Gökberk
Research and Teaching Assistant
Perceptual Intelligence Lab
Computer Engineering Department
Boğaziçi University
E-mail: gokberk at boun.edu.tr
Office: Hisar Campus, BAL
Phone: +90 212 3597183
Address: Boğaziçi University
Computer Engineering Dept.
Bebek 34342, Istanbul / TURKEY
Geographically:
41N 05' 20" / 29E 03' 06"
     

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Current Projects

Biosecure Network of Excellence (NoE) European 6th Framework Project
Development of 2D/3D face recognition/authentication reference systems

Biosecure Joint Project: 3D-assisted 2D and 3D face registration and matching
Project Partners: Boğaziçi University, University of Surrey, University of Sassari

3D Object Recognition
The Scientific and Technological Research Council of Turkey (TUBITAK), Project Code: 104E080

Perceptual Human Computer Interaction
T.R. Prime Ministry State Planning Organization (DPT), Project Code: 03K120250

Publications
Invited Talks & Lectures
Awards
Summer Schools/Workshops

Advanced Studies in Biometrics
Summer School on Biometrics, Alghero, Italy, June 2-6, 2003.

Biometrics Workshop
Challenges arising from Theory to Practice (BCTP), Cambridge, UK, August 22th, 2004. [link]

Biosecure First Residential Workshop
Paris, France, August 2005

Theses

Ph.D. Thesis (in progress)
Title: 3D Face Recognition
Advisors:
Prof. Lale Akarun, Prof. Bülent Sankur, Prof. Ethem Alpaydın

M.S. Thesis
Title:
Feature-based Pose Invariant Face Recognition
Advisors:
Prof. Lale Akarun, Prof. Ethem Alpaydın
Abstract:
One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In this work we compared two different face representation methods for pose invariant face recognition. The first one is the conventional Eigenface coding of face images. The second one is based on the Gabor wavelet based filtering of face images. Gabor wavelets are chosen because of their sensitivity to both spatial frequency and orientation, like the early stages of human visual processing system. Subspace coding of Gabor wavelet-based face representation was also implemented using Principal Component Analysis without a significant loss in the recognition performance of the system. Both parametric and view-based pose invariant face recognition algorithms were used for each representation. Our results show that Gabor wavelet based filtering of images improves the overall performances of both parametric and view-based approaches where these two classification methods have almost similar recognition performances. Effectiveness of Gabor wavelet-based representation was also shown for frontal face databases.

Academic Work Experience

Courses Given:
Introduction to Computing (Pascal)
Introduction to Computing (C)

Courses Assisted
Computer Graphics
Computer Architecture
Software Engineering
Web Services
Internet Programming
Microprocessor-based System Design
Database Systems, Data Structures (C, C++)
Intermediate Programming (C, C++)
Introduction to Programming (Pascal, C, C++)

Education
Since 2001,   Ph.D. student, Boğaziçi University Computer Engineering Department
1999 - 2001,  M.S., Boğaziçi University Computer Engineering Department
1994 - 1999,  B.S., Boğaziçi University Computer Engineering Department
Other Activities
Last update: September 6th, 2006
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