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: Acquisition, reconstruction and inverse problems Credits: 6


The goal of this course is to understand the principles of 2D/3D  imaging, from physics and acquisition to image reconstruction, analysis, and visualization. It gives an overview of several imaging modalities:  CT scan, MRI, surfacic acquisition (point clouds, meshes,...), optical, stereoscopy, photogrammetry... and it is exemplified through a variety of application fields (medical, astrophysical, remote-sensing,...). The course deals with question such as: 2D/3D deconvolution, depth map reconstruction, Fourier synthesis, inverse Radon,... and resort to numerical optimization and variational techniques for criterion including penalties and constraints.

  • Lecturer (name, position, degree): Dr. Pascal Desbartas,Full Professor; Dr. Jean-Fran├žois Giovannelli, 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.