Computer vision deals with obtaining a high-level understanding of the world, through analyzing visual data such as 2D/3D images or videos and extracting the semantics and geometry of real scenes. This course aims to build a fundamental understanding of classic computer vision, starting with low-level vision tasks such as filtering and edge detection, moving to mid-level vision tasks such as feature detection and matching, and ending with high-level tasks, such as segmentation and reconstruction. An overview of recent developments in deep learning for computer vision will also be made.
- Teacher: Melinos Averkiou
- Teacher assistant: Marios Loizou