Peter Torma's CV

2001-	: PhD school @ Eötvös Lóránd University, Budapest, Hungary
1995-2001	: Computer Science and Mathematics major @Eötvös Lóránd University
1999	: Katholike Universitat Nijmegen, Nijmegen, Holland
1998	: Beloit College, Beloit, Wisconsin, USA
1995-2000	: Member of Eötvös József Collegium
1991-1995	: Révai Miklós Gimnázium, Győr

Degrees and Awards

2001	: Pro Scientia Award from the Hungarian NationalAcademy( This award is given every other year to the best $3$ student researchers.)
2002	: Best Project Award at 10th Summer School on Image Processing
2001	: M.Sc. in Computer Science and Mathematics with distinction
2001	: 1st place on the Hungarian Student Research Conference
1999	: ACM Programming Contest North American Final
1999	: 2nd place on the Hungarian Student Research Conference
1995	: 5th place on the Hungarian National Mathematics Competition

Professional Experience

2004-	: GusGus AB Hungarian Branch Office as senior researcher
2002-2004	: Tateyama Ltd. as researcher
1998-2002	: Mindmaker Ltd. as research assistant

Industrial Projects

Face Recognition(2004) with Botond Szatmáry@ TateyamaLtd.
The aim is to develop a face identification system that works on a 50-100 people database. Identifies the person, and alarms if not in the database. First version works with single frontal view image.

European License Plate Localization and Recognition(2004)@ TateyamaLtd.
The aim is to detect, localize and recognize all kinds of European License Plates. This problem is slightly more difficult than the Japanese case because of the big variability of the Number Plate layouts and characters in Europe.

Multi-view Face Detection and Tracking(2003-2004)@ TateyamaLtd.
The aim is to detect and track faces on an on-line video-stream in real time. In the project I used GentleBoost (a variant of AdaBoost) based particle filtering. It runs at 10 frames per second on an 1.5GHz Intel Processor. Demoes follows: Multiple Target Tracking

Japanese License Plate Localization, Tracking and Recognition(2002-2003)@ TateyamaLtd.
The aim is to localize Japanese license plates on frames of avideo sequence and recognize them. The algorithm works well undervarious lighting and weather conditions and with poor qualityimages. The localization performs at 97%, the recognition at98% on a very mixed image quality data base! The algorithm usesprinciples from probability theory and advanced signalprocessing.Demos follows: Tracking without trigger sign.

Research Projects

Visual Object Tracking(1999-) : Won 1st Place on the Hungarian StudentResearch Conference.Supervisor: Csaba Szepesvári.
We developed a new paradigm for particle filtering, andapplied it to several visual object tracking problems. We showedtheoretically that the new paradigm has bounded bias and ourexperiments show that the new scenario gives an exciting andvaluable design tool to particle filtering. Moredetail

Low-level speech synthesization(2001): @ MindmakerLtd.
Our aim was to develop a low-level speech synthesis system usingsmall memory and computational resources, while keeping thequality as good as possible.

Facial gesture recognition on video images(1998) :@ Mindmaker Ltd. Supervisor: András Lőrincz andCsaba Szepesvári. .
Using wavelet-transformation on each frame of a video, onecan compute the optical flow vector field of the motion. Applyingthis to video sequences(on which a human continuously makes agesture) we could compute the the motion of facial feature points.Using Principal Component Analysis we could categorize the facialgesture movements independent of the person.

Modelling the human visual cortex(1997) : Won 2nd Place on the Hungarian StudentResearch Conference. Supervisor: András Lőrincz andPéter Aszalós.
Our focus in this project was modelling the On/Off cells andthe lateral connection between them in the human visual cortex. Asa result we concluded that between the so called Gabor-cells alateral connection system can be developed as it is well known byneurobiologists.

Towards Facial Pose Tracking: Peter Torma and Csaba Szepesvári.
In Proc. First Hungarian Computer Graphics and Geometry Conference Budapest, Hungary, 2002, pages 10-16

Efficient Object Tracking in Video Sequences by means of LS-N-IPS: Peter Torma and Csaba Csaba Szepesvári.
In Proc. ISAP'01 Pula, Croatia, 2001, pages 277-282

LS-N-IPS: An Improvement of Particle Filters by means of Local Search: Peter Torma and Csaba Szepesvári.
Non-linear Control Systems NOLCOS2000, 2000 St Petersburg, Russia

Tooth Color: Effects on Judgements of Attractiveness and Age: Alexis Grosofsky, Sarah Adkins, Robert Bastholm, Leif Meyer, Lisa Krueger, Joshua Meyer, and Peter Torma
Perceptual and Motos Skills, 2003. pp:43-48

Contents:

Ph.D. Thesis (submitted). Expected date of defence: 2008.February

Master's Thesis

Publications