Geometry of Computer Vision and Graphics
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
B4M33GVG | Z,ZK | 6 | 2P+2C | Czech |
- Relations:
- It is not possible to register for the course B4M33GVG if the student is concurrently registered for or has already completed the course AE4M33GVG (mutually exclusive courses).
- It is not possible to register for the course B4M33GVG if the student is concurrently registered for or has already completed the course BE4M33GVG (mutually exclusive courses).
- In order to register for the course B4M33GVG, the student must have registered for the required number of courses in the group BEZBM no later than in the same semester.
- The requirement for course B4M33GVG can be fulfilled by substitution with the course BE4M33GVG.
- It is not possible to register for the course B4M33GVG if the student is concurrently registered for or has previously completed the course BE4M33GVG (mutually exclusive courses).
- It is not possible to register for the course B4M33GVG if the student is concurrently registered for or has previously completed the course AE4M33GVG (mutually exclusive courses).
- Course guarantor:
- Tomáš Pajdla
- Lecturer:
- Tomáš Pajdla, Torsten Sattler
- Tutor:
- Viktor Korotynskiy, Martin Matoušek, Tomáš Pajdla, Vojtěch Pánek
- Supervisor:
- Department of Cybernetics
- Synopsis:
-
We will explain fundamentals of image and space geometry including Euclidean, affine and projective geometry, the model of a perspective camera, image transformations induced by camera motion, and image normalization for object recognition. The theory will be demonstrated on practical task of creating mosaics from images, measuring the geometry of objects by a camera, and reconstructing geometrical properties of objects from their projections. We will build on linear algebra and optimization and lay down foundation for other subjects such as computational geometry, computer vision, computer graphics, digital image processing and recognition of objects in images.
- Requirements:
-
A standard course in Linear Algebra.
- Syllabus of lectures:
-
1. Geometry of computer vision and graphics and how to study it.
2. Linear and affine spaces.
3. Position and its representation.
4. Mathematical model for perspective camera.
5. Perspective camera calibration and pose computatation.
6. Homography.
7. Invariance and covariant constructions.
8. Projective plane, ideal points and ideal line, vanishing points and horizon.
9. Camera calibration from vanishing points and from planar homography.
10. Projective space. Points, lines, planes.
11. Angle and distace in the projective space.
12. Auticalibration of perspective camera.
13. Epipolar geometry.
14. 3D reconstruction from images.
- Syllabus of tutorials:
-
1 Introduction, a-test
2-4 Linear algebra and optimization tools for computing with geometrical objects
5-6 Cameras in affine space - assignment I
7-8 Geometry of objects and cameras in projective space - assignment II
9-10 Principles of randomized algorithms - assignment III.
11-14 Randomized algorithms for computing scene geometry - assignment IV.
- Study Objective:
-
The goal is to present the theoretical background for modelling of perspective cameras and solving tasks of measurement in images and scene reconstruction.
- Study materials:
-
[1] P. Ptak. Introduction to Linear Algebra. Vydavatelstvi CVUT, Praha, 2007.
[2] E. Krajnik. Maticovy pocet. Skriptum. Vydavatelstvi CVUT, Praha, 2000.
[3] R. Hartley, A.Zisserman. Multiple View Geometry in Computer Vision.
Cambridge University Press, 2000.
[4] M. Mortenson. Mathematics for Computer Graphics Applications. Industrial Press. 1999
- Note:
- Further information:
- https://cw.fel.cvut.cz/wiki/courses/gvg/start
- Time-table for winter semester 2024/2025:
- Time-table is not available yet
- Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans:
-
- Open Informatics - Computer Graphics (compulsory course of the specialization)
- Open Informatics - Computer Vision and Image Processing (compulsory course of the specialization)