All students must validate 30 ECTS per semester.We offer two speciality tracks:

Track 1: Vision and Applications
The first track focuses on various applications of computer vision: biomedical applications, people detection, object tracking, computational photography.

Track 2: Vision and devices
The second track focuses on devices to capture images (intelligent sensors, medical imaging systems) and to visualise and interact with them (augmented reality)

 

 

 

Course name: Augmented and Virtual Reality Credits: 6

  • Class type: lecture/practical/lab
  • Hours per week: 4
  • Type of the exam: 50% Lab assigments, 50% theory exam

Content

Augmented Reality is a fast developing field, with many potential applications for the industry, the medical sector, and the general public. We will introduce the many challenges raised by Augmented Reality to convincingly merge virtual objects with our real world: Real-time 3D registration, 3D reconstruction using for example stereo reconstruction or depth from defocus, registration, realistic rendering, visualisation, and user interaction. We will then develop the required theoretical and practical tools based on machine learning, least-squares criterion possibly including penalties and constraints, variational techniques, numerical optimization, etc.

  • Lecturer (name, position, degree): Dr. Jean-Fran├žois Giovannelli, Full professor; Dr. Vincent Lepetit, Full professor

The European Credit Transfer and Accumulation System (ECTS) is a student-centred system based on the student workload required to achieve the objectives of a programme of study. Its aim is to facilitate the recognition of study periods undertaken abroad by mobile students through the transfer credits. The ECTS is based on the principle that 60 credits are equivalent to the workload of full-time student during one academic year.