Computer Vision for Informatics

The course is a substitute for:

Computer Vision for Informatics (33PVI)

Lecturer:

Tutor:

Demlová Uznáno

Supervisor:

Department of Cybernetics

Synopsis:

Method of image analysis and processing for industrial application 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 processing for the visualization and machine vision

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

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

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

7. Object recognition from image

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 = Virtual reality

14. Examples of industrial applications

Syllabus of tutorials:

The goal of 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 scene reconstruction for visualization.

1. Task formulation, tools

2. Students solve an example of industrial task

3. Students solve an example of industrial task

4. Students solve an example of industrial task

5. Students solve an example of industrial task

6. Students solve an example of industrial task

7. Defence of the first task

8. Students solve a 3D scene reconstruction

9. Students solve a 3D scene reconstruction

10. Students solve a 3D scene reconstruction

11. Students solve a 3D scene reconstruction

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:

Time-table for winter semester 2011/2012:

Time-table is not available yet

Time-table for summer semester 2011/2012:

Time-table is not available yet

The course is a part of the following study plans:

• Computer Technology - Software Engineering- structured studies (compulsory elective course)
• Computer Technology - System Programming- structured studies (compulsory elective course)
• Computer Technology - Computer Graphics- structured studies (compulsory elective course, compulsory elective course, S4 recommendation)
• Computer Technology - Computer Network and Internet- structured studies (compulsory elective course)
• Computer Technology - Designing Digital Systems- structured studies (compulsory elective course)