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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2011/2012
Faculties | School elective courses | Katalog předmětů ECTS | Česká verze
Welcome page > Faculty of Electrical Engineering > Department of Cybernetics > Computer Vision and Virtual Reality

Computer Vision and Virtual Reality

The course is not on the list Without time-table
Code Completion Credits Range Language
X33PVR Z,ZK 4 2+2s Czech
The course is a substitute for:
Computer Vision and Virtual Reality (33PVR)
Lecturer:
Tutor:
Supervisor:
Department of Cybernetics
Synopsis:

The aim of this subject is to explain basic approaches used in analyses of digital images. First, the student will learn about image capturing, its digitization, image hardware, and procedures for processing two-dimensional images. The methods for analysis spatial three-dimensional images will follow. Model-based vision. Active vision. Industrial applications. Practical recommendations. Computer vision as data source for virtual reality.

Requirements:
Syllabus of lectures:

1. What are computer vision, concepts, and summary of relevant parts of ZSO.

2. Different computer vision theories, namely Marr's one.

3. Relation to human vision, physiological and psychological considerations.

4. Image segmentation, invariants and scale space.

5. Basics of projective geometry. Geometrical camera calibration.

6. Image capturing from radiometric point of view. Shape from shading.

7. Bilinear and trilinear relations among views.

8. Devices and techniques for capturing 3D images.

9. Stereo vision. Motion detection and analysis.

10. Analysis of 3D images. Bottom up approach. Shape from X.

11. 3D reconstruction, image reconstruction. Point clouds and surface.

12. Model-based vision. Active vision.

13. Industrial applications. Practical recommendations.

14. Computer vision as data source for virtual reality.

Syllabus of tutorials:

The exercises are conducted in the laboratory. Teams of two students solve, defend and present two small projects. The aim is to introduce real industrial topics to students. Projects are changed each semester. The project consists of its specification, solution proposal, experiments, realization, demonstration of functionality, and defense of a report. The solution is presented to other students on a seminar.

1. Assignment of projects. Introduction to tools available for solving projects.

2. Assignment 1, image-based industrial inspection using dedicated SW tool.

3. Assignment 1 - development in the laboratory.

4. Assignment 1 - development in the laboratory.

5. Assignment 1 - development in the laboratory.

6. Report. Defense of Assignment 1.

7. Assignment 2, more complicated vision task, development in Matlab.

8. Assignment 2 - development in the laboratory.

9. Assignment 2 - development in the laboratory.

10. Assignment 2 - development in the laboratory.

11. Assignment 2 - development in the laboratory.

12. Assignment 2 - development in the laboratory.

13. Report. Defense of Assignment 2.

14. Presentation of assignments to the whole class, credit.

Study Objective:
Study materials:

[1] Jain, R., Kasturi, R., Schunk, B. G.: Machine vision. McGraw-Hill, New York, 1995

[2] Šonka, M., Hlaváč V., Boyle R.D.: Image processing, analysis, and machine vision, 3rd Edition, Thomson Engineering, Toronto, Canada, 2007

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Generated on 2012-7-9
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