P33ZVD - Introduction to Computer Vision
Winter 2003/2004, 2 hours lecture + 2 hours exercises per week, i.e., 90 minutes lecture weekly, exercise.
The lecture in the lecture room K112 (Vycichlova knihovna), building E at the Karlovo
namesti campus
of the CTU on Fridays from 9:15 till 10:45.
Lecturer Professor Vaclav Hlavac
Center for Machine Perception, Department of Cybernetics
Faculty of Electrical Engineering, CTU Prague
hlavac@fel.cvut.cz, http://cmp.felk.cvut.cz/~hlavac
With help of Mgr. Ondrej Drbohlav, drbohlav@cmp.felk.cvut.cz,
Ing. V. Franc, xfrancv@cmp.felk.cvut.cz,
Ing. V. Smutny, smutny@cmp.felk.cvut.cz
Instructor of the exercises Mr Tomas Pajdla (make an arrangement with him
individually by an email.)
pajdla@fel.cvut.cz, http://cmp.felk.cvut.cz/~pajdla}
Praha, September 22, 2003
Plan of the lectures
No | Data | Lecture content | Electronic material |
1 | 3.10.2003 | What is computer vision? Low-level image processing and high-level vision. Representation and basic properties of images. Fourier transform. | Digital image. |
2 | 10.10.2003 | Image formation, acquisition. Color. | Image acquisition, cameras. |
3 | 17.10.2003 | Image analysis as analysis of a 2D signal. Linear integral transformations, image preprocessing (1). | Fourier tx 1D. Fourier tx 2D. Fourierova filtrace. FFT. |
4 | 24.10.2003 | Image preprocessing (2). Marr's theory of edge detection. Scale space. | Preprocessing in mage domain. Edge detection. |
5 | 31.10.2003 | Image segmentation. Description of objects in images. (O. Drbohlav) | Segmentation (thresholding). |
6 | 7.11.2003 | Basics of Pattern Recognition. (V. Franc). | |
7 | 14.11.2003 | Mathematical morphology (1). | |
8 | 21.11.2003 | 2D computer vision for industrial and other applications. (V. Smutny). | |
9 | 28.11.2003 | Mathematical morphology (2). Texture. | |
10 | 5.12.2003 | Detection of distinguished primitives in images. Hough transform. | |
11 | 12.12.2003 | Introduction to 3D vision. Marr's theory. 3D vision geometry. More cameras. | |
12 | 19.12.2003 | Correspondence problem. Reconstruction of 3D scenes. | |
13 | 9.01.2004 | Motion analysis. | |
14 | 16.01.2004 | Image and video compression. |