P33ZVD - Introduction to Computer Vision
Winter 2005/2006, 2 hours lecture + 2 hours exercises per week, i.e., 90 minutes lecture weekly + exercises.
The lecture in the lecture room G205, building G at the Karlovo namesti campus of the CTU on Thursdays from 9:15 till 10:45. Click here for the map.
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
Instructor of the exercises Dr Tomas Pajdla (make an arrangement with him
individually by an email.)
pajdla@fel.cvut.cz, http://cmp.felk.cvut.cz/~pajdla}
Plan of the lectures
| No | Date | Lecture content | Electronic material |
| 1 | 29.09.2005 | What is computer vision? Low-level image processing and high-level vision. Digital image. | Digital image (cz). |
| 2 | 6.10.2005 | Image formation, acquisition. Color. (Lecturer T. Pajdla) | Image formation (cz), geom. optics (cz), cameras (cz). Color. |
| 3 | 13.10.2005 | Image analysis as analysis of a 2D signal. Fourier transform rehearsal. Linear integral transformations, image preprocessing in freq. domain. | Fourier tx 1D. Fourier tx 2D (cz). Fourierova filtrace. FFT. |
| 4 | 20.10.2005 | Image preprocessing in image domain. Marr's theory of edge detection. Scale space. (Lecturer T. Werner) | Preprocessing in the image domain. Edge detection. |
| 5 | 27.10.2005 | Image segmentation. (Lecturer T. Werner) | Segmentation (taxonomy, thresholding, spatial coherence). |
| 6 | 3.11.2005 | Mathematical morphology. | Math. morphology. Binary (cz), gray scale (cz). |
| 7 | 10.11.2005 | Basics of pattern recognition. | Basics of PR (cz). |
| 8 | 17.11.2005 | Public holiday. No lecture. | |
| 9 | 24.11.2005 | Description of objects in images. Detection of distinguished primitives in images. | |
| 10 | 1.12.2005 | Texture. Introduction to 3D vision. Marr's theory. | |
| 11 | 8.12.2005 | 3D vision geometry. More cameras. | |
| 12 | 15.12.2005 | Correspondence problem. Reconstruction of 3D scenes. | |
| 13 | 5.01.2006 | Motion analysis. | |
| 14 | 12.01.2006 | Image and video compression. (Lecturer T. Werner) |
Exercises
The aim of the exercise is to teach a PhD candidate how to write a scientific paper and prove it on a domain related both to student's own research and computer vision. The exercise is conducted in a close cooperation with the instructor Dr Tomas Pajdla. The student either works on his own research paper to be submitted elsewhere which is related at least loosely to computer vision. If the student own research is too far from this subject then he is given a topic which is expected to be studied and described in a research report. After the topic is agreed with the instructor, the students works on it individually. However, the student is recommended to conduct personal consultations with the instructor regularly.
Maintained by V. Hlavac, hlavac@fel.cvut.cz
Last modification 10.11.2005 11:21