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AISB opportunities Bulletin Item

Post-Doctoral position in Computer Vision,University Paris Descartes

*Post-Doctoral position in Computer Vision *

*University Paris Descartes  INRIA*

*Paris - France (Contract 12 months renewable 6 months)*

_*STARTING DATE:*_ As soon as possible.

_*SALARY (net income): *_From 1700 to 2000 Euros /month, according to 
the professional experience. In addition, comprehensive health care.

_*POSITION LOCATION: *_ CRIP5 laboratory, University Paris Descartes  
45 rue des Saints-Pres 75006 Paris  _http://www.sip-crip5.org/_ . 
Accommodations might be arranged if necessary at the Cit internationale 
(_http://www.ciup.fr/lang_en.htm_ ).


This is a collaborative project between :


      LASTER TECHNOLOGY (_http://www.laster.fr/_ ): for the design of a
      light-weight VR device made of spectacles with a camera and a
      projector included;


      (_http://www.cite-sciences.fr/english/indexFLASH.htm_ ) : for the
      demonstration of the prototype that should be designed at the end
      of the first step of the project (February 2009);


      INRIA (_http://www.inria.fr/recherche/equipes/complex.fr.html_ )
      and UNIVERSITY PARIS DESCARTES ( _http://www.sip-crip5.org
      _ ): for the vision and image analysis
      algorithm and the problematics of real-time and power-limited
      hardware devices (see for instance a HP Pavilion Media Center).


      DREAMINREAL (_http://www.beta.puf.com/wiki/Auteur:Michel_Agnola_ )
      : for the scenario, the 3D graphics and the management of the project.

*Your work will cope with the image analysis and computer vision issues 
of the project :*


      The first part will consist in adapting *tracking algorithms and
      pose estimation methods* to the light-weight wearable optical
      solution designed by LASTER TECHNOLOGY. This will be validated by
      a demonstration of a Virtual Reality (VR) application for an
      exhibition at LA CITE DES SCIENCES ET DE L'INDUSTRIE about
      satellite imaging. This step is concerned with a single user.


      The second part of the project will consist in designing a kind of
      actor tracker *with the help of modern 3D acquisition cameras such
      as Triclops*^*TM* * product from Point Grey Research
      (*_*http://www.ptgrey.com/products/triclopsSDK/index.asp*_* )* in
      order to bring interactivity between actors of this VR
      application. This module should be able to estimate the
      localization of the different actors inside the scene of the
      exhibition with this big brother monitoring in order to breed
      the scenario part of the project. This step is concerned with the
      multi-user aspect of the project. This stage addresses the
      multi-user aspects of the project.


      The third part of the project is related to the adaptation of
      evolutionary algorithm techniques to the design of a gestural user
      interface. A simple hand gestural language will be defined in
      order to enable the user interact with the system. A real-time
      evolutionary vision algorithm will then be developed in order to
      recognize the users hand position and gestures, based on
      evolutionary vision techniques already developed by INRIA.


University Paris Descartes is mostly dedicated to medicine research but 
the Computer Sciences department and SIP team in particular (Intelligent 
Systems of Perception team - _http://www.sip-crip5.org 
_) carry out a dynamic research in the field 
of computer system for image analysis, pattern recognition and computer 
vision. Some of our applications can be related to the medical fields 
like bio-imaging but most of them encompass more general applicative 
issues. SIP-CRIP5 takes part to several national (French) projects that 
have a strong image analysis component.

INRIA (French national institute for research in computer science and 
control, _http://www.inria.fr/index.en.html_) is dedicated to 
fundamental and applied research in information and communication 
science and technology (ICST). The APIS team is involved into artificial 
evolution and its applications to vision and human interface.



      Advanced experience of programming.


      Mathematical background in 3D geometry and processing


      Skills or interest for hardware considerations (GPU, etc.)


5 years higher education (university's degree or engineering 
equivalence). A Ph.D. in the field of computer vision is required.


Applicants should send a CV including a list of publications, a 
statement of research interests, and names and contact information of 3 
referees electronically to lomenie()sip-crip5.org and