Reconstruction and Analysis of 3D Scenes (FSI-SR0)

Academic year 2018/2019
Supervisor: Mgr. Jana Procházková, Ph.D.  
Supervising institute: ÚM all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:
The main gist of the subject is to understand the point cloud and its basic algorithms. The optical scanner ATOS will be present to the students.
Learning outcomes and competences:
Students will learn about the point cloud area, its acquisition, usage and post-processing.
Prerequisites:
elementary knowledge of mathematical analysis and algebra (matrix, derivative), computer graphics, the recommended is the knowledge of programming language (C, C++, Pascal, atd) or programm (e.g. Matlab).
Course contents:
The subject concerns the reconstruction and analysis of 3D scenes that are based on point clouds. This research area is important in the reverse engineering, robotics, geography and autonomous traffic systems. First part of the lectures deals with the data acquisition types and their purpose. In laboratory we make the measurement with optical scanner ATOS. We will process the point cloud with software GOM inspect and Rhinoceros. The second part covers the area of 3D reconstruction, edge detection, object recognitions, etc. Students prepare their own implementation of some of the algorithm in the last lectures of semester.
Teaching methods and criteria:
The lectures are the based on the presentation of the methods. Two lecture will be in laboratory on the optical scanner ATOS (calibration and 3D scanning). In the end of the semester students will work on the computer on their favourite theme.
Assesment methods and criteria linked to learning outcomes:
Students will prepare the project and present the project on the end of the semester.
Controlled participation in lessons:
the attendance is recommended
Type of course unit:
    Computer-assisted exercise  13 × 2 hrs. compulsory                  
Course curriculum:
    Computer-assisted exercise 1. week: The data acquisition (Terrain, Mobile, Airborne) in dependance of the application. Laser scanner ATOS.
2. week: Point cloud registration.
3.-4. week: Laboratory measurements on the optical scanner ATOS.
5. week: Point cloud processing in software
6. week: Analysis of 3D scenes.
7. week: 3D reconstruction.
8. week: Feature extraction.
9.-12. week: Seminar work with consultations.
13. week: Presentation of the seminar work.
Literature - fundamental:
1. WEINMANN, Martin. Reconstruction and Analysis of 3D Scenes. Switzerland: Springer, 2016.
2. HUGHES, John F. Computer graphics: principles and practice. Third edition. ISBN 978-0-321-39952-6.
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
M2A-P full-time study M-MAI Mathematical Engineering -- GCr 3 Elective (voluntary) 2 1 W