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Curriculum Vitae

in academic style


Pierre-Louis BAZIN


address:
Division of Engineering
Box D
Brown University
Providence, RI 02912, USA

phone : +1(401) 863 2760

e-mail : bazin@lems.brown.edu
Me.

Date of birth : 24/01/75

Nationality: French

Marital status: single

National service: in progress

Doctor and Supelec Engineer

ACADEMIC RECORD

1998 – 2001

INRIA, Rocquencourt : PhD thesis in Signal Processing in the field of Computer Vision, on the subject: "Modelisation and Estimation of Motion and Structure in Video Streams from Sparse Geometric Elements, with an Application to Video Post-production". This research theme was a part of an European project on post-production, Nemesis, leading to the realisation of a post-production software.
1997 – 1998

Supelec, Gif-sur-Yvette: Specialisation in the Electronics and Digital Communications departement (telecommunications, fast electronics devices and digital information processing).

Laboratory of Signals and Systems, Gif-sur-Yvette : D.E.A. in Automatics and Signal Processing (with a focus on signal and image processing) with "bien" mention.
1995 – 1997

Supelec, Gif-sur-Yvette: First and second years of engineering college, in general electronics, physics and computer science.
1993 – 1995

Lycées Clémenceau and Roosevelt, Reims : Preparatory years for the "Grandes Ecoles" examination, in Physics section.
1992 – 1993

Lycée Clémenceau, Reims : Baccalaureat C (mathematics and physics) with "très bien" mention.

PHD WORK

1998 - 2001 Shape and motion recovery is a problem that can be formulated in many different ways. For post-production applications, the main difficulty is to recover precisely the 3D structure and the path of the camera in long image sequences. Our approach states the problem as a parametric estimation problem, that allow to handle heterogeneous information on the system and uncertainties in a Bayesian context. From geometric reduction, we integrate in the scene description various geometric shapes along with geometric relationships. Similarly, the camera motion is modeled on the entire sequence using polynomial curves, which degree is set by model selection. The elements of the scene are tracked along the sequence, then the parameters of the models are estimated in a sequential fashion. We present reconstruction results on various simulated and real sequences, and the method is successfully applied for augmented reality effects.

PROFESSIONNAL EXPERIENCE

August 2001 -

Computer Vision: Post-doctoral position in the SHAPE Lab, at Brown University, on 3D reconstruction for digital archeology.
July – September 98

Computer Vision: study of a calibration method based on vanishing points, at INRIA, Rocquencourt. This work was a preparatory study for the interactive calibration to be developed in thesis.
April – July 98

Telecommunications : work on data fusion based on radio-frequency sensors, at MOTOROLA, Gif-sur-Yvette. A statistical analysis of signal databases have been performed, and several tracking models for radio-localisation have been tested on the databases, with a particular focus on Kalman filtering and Neural Networks.
October-March 98

Communication Networks: study of variable bit rate (VBR) multiplexing in ATM (asynchronous transfer mode) switches at Supelec, for Matra-Ericsson. An approach using "leaky bucket" queues have been developed and tested on network simulations.
July – September 97

Image Processing: development of tools for image texture analysis for the identification of medical sonographic images at IoDP, Paris. A genetic algorithm have been used to optimise the set of tools on specific tissues discrimination problems.
July 96 Training course in domestic electronics repairs at Moinel, Nancy.

LANGUAGES

French Mother language
English Fluent. Several trips to England and Ireland.
Spanish Good level. Several trips to Spain.
Japanese Good writing and speaking basis, JFL level 4 obtained in 1996, language course in Japan.
Chinese Basis for study.

COMPUTER KNOWLEDGE

Languages C, C++, Tcl/Tk, HTML, Pascal.
Systems UNIX, Linux, Windows, Macintosh.
Applications MatLab, Maple, Opnet, LaTeX.

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