Prof. Alberto Paoluzzi,
Ing. Francesco Furiani, Ing. Enrico Marino, Ing. Federico Spini
The course aims to develop the skill needed to (a) produce geometric models of highly complex components and structures, both natural and man-made, and (b) understand the design and development of computer-aided modeling and simulation. The lectures offer some background about the geometric and mathematical techniques required, and provide insight into some main topics of computer graphics techniques, including computer rendering, geometric computing and scientific visualization. The theory is carefully linked to practice by implementing programming projects in a cutting edge graphics environment based on Javascript and Python.
Lectures From Monday, Mar 3, 2014 to Friday, Jun 6, 2014
| Monday | Tuesday | Thursday |
|---|---|---|
| 14:00 | 14:00 | 14:00 |
Room N14 (Via della Vasca Navale, 79)
Why Python? Environment setup: Python, Scipy, Ipython, Pyplasm. Getting started: basic syntax by examples. Best practices: list comprehensions, iterators, documentation, optimization.
Linear and affine spaces, convex sets, affine and convex coordinates, cones, polyhedra. Cellular complexes: polytopal, simplicial and cuboidal complexes. Convex hull, Dealunay triangulations, Voronoi complexes.
Parametric representation. Curves, surfaces, solids. Rational and polynomial maps, tensor product patches, transfinite methods. Finite elements. Solid modeling. Motion modeling.
Affine transformations, graphical primitives, hierarchical structures and scene graphs.
2D and 3D pipelines, projections, materials and illumination models, shading, texture mapping, 3D reconstruction.
Why JavaScript? Environment setup: Chrome, Git, GitHub. Control flow, functions, closures; objects, built-in objects; prototype, inheritance; coding style guide, the Javascript ecosystem.
Introduction to WebGL. Three.js web graphics framework
Each student is required to design and implement a personal project in the area of Visual data structures and computational modeling.