| Course title |
Computer Vision |
| Acronym |
13M051KV |
| Study programme |
Electrical Engineering and Computing |
| Module |
Signals and Systems |
| Type of study |
master academic studies |
| Lecturer (for classes) |
|
| Lecturer/Associate (for practice) |
|
| Lecturer/Associate (for OTC) |
|
| ESPB |
6.0 |
Status |
elective |
| Condition |
Digital image processing (OS4DOS, MS1DOS), Pattern recognition (OS4PO, MS1PO) |
| The goal |
The aim of the course is to familiarize students with the modern directions of computer vision, which have a tremendous trend in the world in the last two decades. Students will be familiar with the basics of image formation, characteristic features properties in the image, stereo-vision problems, recognition of objects in images or video sequences and computer tools that are being used for. |
| The outcome |
After completing the course, students will be able to independently solve problems related to digital image processing, object recognition and tracking in video sequences, and will be familiar with potential applications in surveillance systems, modern systems for people and objects tracking, medicine, television, professional photography, etc. |
| URL to the subject page |
http://automatika.etf.bg.edu.rs/sr/13m051kv |
| Contents of lectures |
Basic principles of image formation, Color, Filters and image pyramids, local features, panoramic image stitching, perspective projections, stereo-vision, object recognition in the image, face recognition, image retrieval, etc. |
| Contents of exercises |
Using MATLAB and its specific toolboxes for digital image processing and computer vision to solve various problems related to scientific, research, medical and commercial applications. |
