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 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. The students will learn how to implement a processing chain from the physical acquisition of data to the visualisation and analysis of images. They will also understand the specificities of stereoscopic, volumetric and surfacic 3D images.
For more information, please download the teaching guide HERE.