TRACK C: 3D

3D scanning (basic) – 22-23 JUNE 2017
Course objective: Introduction to fundamentals of 3D acquisition
Course contents: 3D scanning; stereo vision, triangulation, laser scanning, structured light; time-of-flight cameras

3D scan pre-processing  (adv) – 3-5 JULY 2017
Course objective: Learning 3D pre-processing operations
Course contents: Triangular meshes; geometry-processing: pipeline based on triangular meshes; geometry processing: mesh parameterisation and mesh quantities; MeshLab

3D SCAN MATCHING AND REGISTRATION (basic) – 12-13 SEPTEMBER 2017
Course objective: Learning tools for Augmented Reality applications
Course contents: Basic concepts of Augmented Reality

3D SCAN MATCHING AND REGISTRATION (adv, onsite course IN LILLE) – 13-16 NOVEMBER 2017
Course objective: Learning principles for matching 3D data
Course contents: Matching algorithms; Iterative Closest Point algorithm, for the alignment of the cloud points; Point Cloud Library

Students will learn to design and process the data acquired with installed cameras and video cameras on drones, according to the most modern photogrammetric techniques.

The course will also address the following topics:

• Characteristics of UAV systems suitable for photogrammetric and thematic documentation. Several sensors: rooms, cameras, lidar. flight plan design: technical aspects and regulations, optimal environmental conditions.
• Processing and interpretation of data. 3D modeling: from point clouds to surface models. Import formats and management of point cloud. Triangulation algorithms. Layer management. Filters of selection and cleaning. Mode of mesh display models. Management texture. export formats.
• Tools for viewing on site and on line models. 3D scanning systems for the archaeological survey, architectural and urban. Principles of operation and application areas of triangulation systems and distanziometrici.
• Job workflow: from the survey design to graphics processing. Techniques alignment and referencing of data. 2D and 3D graphics processing.