Introduction
3D data examples and representations
Differential geometry and 3D data
3D data acquisition
Registration and matching: ICP algorithm, pointwise descriptors
Analysis and computation on 3D data: normals, distances and operator
Spectral geometry processing
Mesh sampling and generation
AI and 3D data
3D Printing
Applications and conclusions
Part chosen by the student (one of the three options A, B, and C), related to the topics presented during the course (to be agreed via e-mail with the teacher).
Questions on the content of the course or on the exercises to evaluate and finalize the final score of the exam.
Options for part 1) in an increasing value for the evaluation (to be agreed via e-mail with the teacher):
A. Seminar on a specific part of the course theory+exercises.
B. Seminar on a research paper.
C: Implementation of a small project (mandatory for 30 cum laude).
There is not any difference between attending and non-attending students.