Course detail

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

Students will learn about the point clouds, its acquisition, usage and post-processing.


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).


Not applicable.

Recommended optional programme components

Not applicable.


WEINMANN, Martin. Reconstruction and Analysis of 3D Scenes. Switzerland: Springer, 2016. (EN)
HUGHES, John F. Computer graphics: principles and practice. Third edition. ISBN 978-0-321-39952-6. (EN)

Planned learning activities and teaching methods

The lectures are the based on the presentation and programming of the point cloud processing methods. Two lectures 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 preferable research topic.

Assesment methods and criteria linked to learning outcomes

Students will prepare the project and present the project on the end of the semester.

Language of instruction


Work placements

Not applicable.


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.

Specification of controlled education, way of implementation and compensation for absences

the attendance is recommended

Classification of course in study plans

  • Programme M2A-P Master's

    branch M-MAI , 1. year of study, winter semester, 3 credits, elective (voluntary)

Type of course unit


Computer-assisted exercise

26 hours, compulsory

Teacher / Lecturer


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.