Computer Vision for Informatics

The course is a substitute for:

Computer Vision for Informatics (X33PVI)

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

Methods of image analysis and processing for industrial applications and Computer Graphics will be presented. A special attention will be paid to those methods which are important at industry, and to the reconstruction of a 3D shape and appearance for virtual reality and computer graphics. Theory of the most important methods will be explained and their applications shown.

Requirements:

Syllabus of lectures:

1. Computer Vision, its applications at industry, and relations to the Computer Graphics

2. Image formation, acquisition, and its representation in the computer

3. Image preprocessing for the visualisation and machine vision

4. Metrical and topological structure of digital images, the mathematical morphology

5. 2D signal analysis applied to the image processing, convolutions, filtrations

6. Detecting points, edges, and regions in images. Extracting geometrical primitives

7. Object recognition from images

8. Projective geometry for Computer Vision

9. Perspective and panoramic cameras, mathematical models, calibration

10. Reconstructing the 3D shape of an object by a laser range finder

11. Reconstructing the shape and appearance of a 3D scene by stereo vision

12. Combining real and virtual scenes

13. Computer Vision + Computer Graphics = Virtualized reality

14. Examples of industrial applications

Syllabus of tutorials:

The goal of the laboratories is to get students familiar with the applications of the Computer Vision in industry and Computer Graphics. A couple of students will solve (1) an example an industrial task (2) a task of the scene reconstruction for visualisation.

1. Task formulation, tools

2. - 6. Students solve an example of an industrial task

7. Defence of the first task

8. - 12. Students solve a 3D scene reconstruction

13. Defence of the second task

14. The presentation of the solutions to other students

Study Objective:

Study materials:

[1] Russ, J.C.: The image processing handbook. CRC Press, Ann Arbor, USA, 1995

[2] For more information see http://cmp.felk.cvut.cz/cmp/courses/

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Výpočetní technika-inženýrský blok (compulsory elective course)
• Výpočetní technika-inženýrský blok (compulsory elective course)