Reconstruction and Analysis of 3D Scenes
FSI-SR0Acad. year: 2019/2020
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.
Learning outcomes of the course unit
Recommended optional programme components
HUGHES, John F. Computer graphics: principles and practice. Third edition. ISBN 978-0-321-39952-6. (EN)
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Language of instruction
Specification of controlled education, way of implementation and compensation for absences
Type of course unit
Teacher / Lecturer
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.