Course detail

Reconstruction and Analysis of 3D Scenes

FSI-SR0-AAcad. year: 2023/2024

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 algorithms as registration, edge detection, feature extraction. In laboratory we make the measurement with optical scanner ATOS and other hand scanners. We will process the point cloud with software GOM inspect and Rhinoceros. We will also work with 3D printer Voxelizer.
We will use Arduino Engineering Kit for testing of proposed algorithms.
Students prepare their own implementation of some of the algorithm in the last lectures of semester.

Language of instruction

English

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

Mgr. Jana Procházková, Ph.D.

Department

Institute of Mathematics (ÚM)

Entry knowledge

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).

Rules for evaluation and completion of the course

Students will prepare the project and present the project on the end of the semester.
The lecture attendance is compulsory.

Aims

The main gist of the subject is to understand the point cloud and its processing algorithms. The practical part will show the 3D scanning and 3D printing technology and the 3D scene algorithms.
Students will learn about the point clouds, its acquisition (3D scanning), usage (3D printing, Arduino scene analysis) and post-processing (edge or object detection, registration).

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

HUGHES, John F. Computer graphics: principles and practice. Third edition. ISBN 978-0-321-39952-6. (EN)
SHIRLEY, Peter. Fundamentals of Computer Graphics. 2nd ed. Welesley: A K Peters, c2005. ISBN 1-56881-269-8. (EN)
WEINMANN, Martin. Reconstruction and Analysis of 3D Scenes. Switzerland: Springer, 2016. (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme N-AIM-A Master's 2 year of study, summer semester, elective
  • Programme N-MAI-A Master's 1 year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

Mgr. Jana Procházková, Ph.D.

Syllabus

1st week: The data acquisition (Terrain, Mobile, Airborne) in dependance of the application. Passive (Structure from Motion) and active methods (Time of Flight, laser)
2nd week: Point cloud registration (methods PCA, SVD, ICP).
3rd week: RANSAC - algorithm and its usage, feature extraction
4-5th week: Laboratory measurements on the optical scanner ATOS and hand scanners.
6th week: Point cloud processing in software (GOM Inspect, Rhinoceros, etc.)
7th week: 3D printing - principles, settings, problems.
8th week: Arduino Engineering Kit - vehicle Rover can navigate between given reference points, move objects with a forklift.
9-12th week: Consultations
13th week: Presentation of the seminar work.

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

Mgr. Jana Procházková, Ph.D.

Syllabus

1st week: The data acquisition (Terrain, Mobile, Airborne) in dependance of the application, Matlab programming.
2nd week: Point cloud registration - MATLAB or other programming languages.
3rd week: RANSAC programming.
4-5th Laboratory measurements on the optical scanner ATOS and using hand scanners.
6th week: Point cloud processing in software (GOM Inspect, Voxelizer, Rhinoceros). Creating own models for 3D printing.
7th week: 3D printing of models (Voxelizer 3D printer)
8th week: Arduino Engineering Kit - vehicle rover programming.
9-12th week: Seminar work with consultations.
13th week: Presentation of the seminar work.