Ms Computer Vision: General Overview

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[New] For Second year students: submission deadlines, defense date,  thesis and paper templates available here.

Location Le Creusot, Université de Bourgogne, FRANCE
Tuition Fees 1000 € / year
Course Language English
Application Deadline -> NON EU students: April 30, 2012
-> EU students: June 29, 2012
Required documents Procedure detailed in application forms in download section

  • Letter of application outlining rationale for wanting to undertake the programme
  • Curriculum vitae
  • Proof of level of competency in English
  • One copy of a valid National ID document and passport
  • 1 current passport-size photographie.
  • True copy of your original Bachelor’s Degree (equivalent to a UK 1st class Honors Bachelor degree) or equivalent, duly stamped and signed by your University proving its authenticity (Do not give us your original diploma which is only issued once) with records transcripts (English translation). A scanned version if you apply by email is sufficient at this stage.
  • Once you are accepted:
    • True copy of birth certificate, duly stamped and signed by authorized institution proving its authenticity (Do not give us your original birth certificate which is only issued once).
    • Original certified translation into French of Birth certificate by sworn translator.
    • True copy of your original Bachelor’s Degree, duly stamped and signed by your University or other authorized institution proving its authenticity (Do not give us your original diploma which is only issued once).
    • Original certified translation into French of your Bachelor’s Degree by sworn translator.
Contact
Course duration 2 years

Course Description

First Year

Semester 1 (30 ECTS)

  • Digital Signal Processing
  • Introduction to Image Processing
  • Sensors and Digitization
  • Software Engineering
  • Applied Mathematics
  • Local Culture

Semester 2 (30 ECTS)

  • Probabilistic Robotics
  • Autonomous Robots
  • Scene Segmentation and Interpretation
  • Visual Perception
  • Medical Image Analysis
  • Local Culture

Second Year

Semester 3 (30 ECTS)

  • Advanced Image Analysis
  • Multi-Sensor Fusion and Tracking
  • Real Time Imaging and Control
  • Robotics Project
  • Local Culture

Semester 4 (30ECTS)

Research Training period or vocational training period taken in industry or at any of the partners institutes.

Downloads

Scholarships

Potential scholarships can be found at http://www.scholarshipportal.eu/

Lost with acronyms Vibot, MsCV, VICOT, and the university partners?

Everything is clearly explained here.

LOCAL CULTURE

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*There is another exhibition at Le CREUSOT, at L’ARC ( the building is almost opposite the post office).                                                                                                                   The works of a Burgundian sculptor, Jean FONTAINE, will be on display until the 17th of December 2011. Open Tuesday to Friday : 1.30pm to 7pm / Open Saturday: 2.30pm to 7pm / Sunday: the 20th of November and the 11th of December: 2;20pm to 6pm . Entrance supposedly free.

 

Welcome to the new website for the Masters in Computer Vision

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Welcome to this new website for the Masters in Computer Vision.

This space is dedicated for the professors, staffs, and students to efficiently communicate and disseminate courses and labs materials.

The most important technical novelties are

  1. “Blog” structure with dedicated static web pages (one per module for each semester). This allows for the module coordinators to quickly and simply update the content of their web pages. Thanks to Antoine Trapet (Le2i Lab) for his excellent work!
  2. Hosting on our UB server. Maximum file size and maximum storage capacity have been significantly increased: you should not have any problem to directly and easily upload your course materials.

Soon, the site shall be restricted to authorized persons only (students, staffs, faculties): you will soon receive your login and password to access and/or edit pages and posts. For now, the focus is set on the contents and structures of semesters 1 and 3.

We hope that this new web site will provide an excellent support for all of you, students, staffs, and professors.