Relatore:
Maks Ovsjanikov
- Ecole Polytechnique, Paris
giovedì 24 maggio 2018
alle ore
8.30
first lecture room M
**PLEASE, NOTICE THE UPDATES IN THE TIMETABLE**
MINI-COURSE TITLE: DIGITAL GEOMETRY PROCESSING. ALGORITHMS FOR REPRESENTING, ANALYSING AND COMPARING 3D SHAPES
SPEAKER: PROF. MAKS OVSJANIKOV (ECOLE POLYTECHNIQUE, PARIS)
DATE, PLACE: 22/5-1/6/18,
COURSE DURATION: about 12h course, including laboratory sessions
UPDATED TIMETABLE
Thursday, May 24 8.30-11.30 room M
Friday, May 25 8.30-11.30 room I
Monday, May 28 14.30-17.30 room M
Friday, June 1st 8. 30-11.30 Lab Ciberfisico
Course description: This course will introduce the fundamental concepts for creating and analyzing 3D shapes on the computer. Throughout the course, we will put special emphasis on techniques that are based on discrete Laplace operators, which have, remarkably, permeated all areas of discrete shape processing. We will start with the basics of surface reconstruction from point clouds, and point cloud registration (alignment). We will then move to various approaches to shape analysis and processing, including the definitions and applications of various discrete differential geometry operators. More specifically, topics will include:
- Surface reconstruction from point samples
- Shape Registration (alignment)
- Discrete differential geometry on triangle meshes
- Shape parameterisation
- Shape deformation and remeshing
- Shape retrieval
- Non-rigid shape matching
Prerequisites: The students should have a good understanding of the basics of numerical linear algebra (solving linear systems, computing eigen-value and singular-value decompositions of matrices, etc) and experience with programing in Matlab (or potentially Python). Some background in differential geometry would be useful but is not necessary.