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Notice

AISB opportunities Bulletin Item

Deutsche Telekom Laboratories - PhD position in Computer Vision


PhD position in dynamic scene recovery from multiple cameras  The
Deutsche Telekom Laboratories have an opening for a PhD position in
the field of Computer Vision. The position is offered on a 1 year
renewable basis until completion of the PhD(maximum 3 years). The PhD
candidate will be supervised by Slobodan Ilic from Deutsche Telekom
Laboratories and co-supervised by Edmond Boyer from Perception team,
at the INRIA Rhne-Alpes. The application deadline is the end of
February 2007 and starting as soon as the 1st of April.


Description The Deutsche Telekom Laboratories is about to start Free
Viewpoint TV project. The project will be done in close collaboration
with PERCEPTION research group from INRIA, Rhone-Alpes, France. The
main idea is to build a close loop system based on multiple camera
set-up capable of generating novel views of the scene from an
arbitrary viewpoint. The key of the system is a real-time 3D
reconstruction algorithm developed by INRIA. The algorithm is based on
the shape from silhouettes technique, which is promising but still
does not produce high (image) quality results using limited number of
cameras. The challenge is to consider additional constraints in the
process, such as photo or time consistency, in order to improve the
reconstruction quality, but still using wide baseline camera set-up.
This will include research of shape representation such that it
satisfies silhouette constraints and deforming such surface so that
they are photo-consistent across the images. The candidate is supposed
to research and develop novel approaches to dynamic scene recovery in
real time given the fixed wide baseline multiple camera set-up. The
research will involve studying and improvement of shape from
silhouettes technique, studying of geometric shape representation and
developing optimization procedures for fitting extracted shape
representations to the multiple camera images. Also, the candidate is
supposed to assist in building and maintaining the multiple camera
system.

Position The Deutsche Telekom Laboratories is a research institute
affiliated to Technical University of Berlin. It is new and creative
international research environment. It has strong relations with
industries (Deutsche Telekom) and academia including the best
universities worldwide. The main partner on this project is PERCEPTION
research group from INRIA, Rhone-Alpes, France. The PERCEPTION group
is one of the well know Computer Vision laboratories specialized in
shape recovery from multiple cameras. There is a possibility to gain
an experience in dynamic 3D modelling from images. The position is
based in Berlin and will also involve travel to INRIA-Grenoble on a
regular basis. Salary range starts from 36000EUR per year before the
taxes, and the precise amount to be determined by DTLabs department of
human resources depending on the age and experience of the candidates.


Education The candidate must hold MSc or equivalent degree in Computer
Science or Mathematics. Strong mathematics and programming skills
(C/C++ and/or Matlab) are a required. It is desirable that the
candidate did Master/Diploma thesis in the Computer Vision or related
field. Interest for research, self-motivation, and the ability to work
both independently and as a team player in local and international
research teams are expected.
 French/German language skills are not required, but English is mandatory.


Application

Applications can either be sent via e-mail or letter to both:


Dr. Slobodan Ilic
Deutsche Telekom Laboratories
Tel: +49 30 8353-58484
Fax: +49 30 8353-58409
E-mail: Slobodan.Ilic@tu-berlin.de
Web: http://www.deutsche-telekom-laboratories.de/~slobodan



Prof. Edmond Boyer
PERCEPTION - GRAVIR - INRIA
655, avenue de l'Europe,
38334 Saint Ismier - FRANCE
Tel: +33 476 61 53 54
Fax:+33 47661 54 54
E-mail: Edmond.Boyer@inrialpes.fr
Web: http://perception.inrialpes.fr/people/Boyer/

 They must contain a statement of interest, a CV, diploma/master
thesis abstract, and the names of two references.