DRIVES - Computer Vision
U1 - Artificial Intelligence Overview
- E1 - Artificial Intelligence Fundamentals
- E2 - Machine Learning Basics
- E3 - Underpinnings of Deep Learning
- E4 - AI Applications, Use Cases, and Real-Life Examples
- E5 - The Philosophical Problems Surrounding Artificial Intelligence: Issues, Concerns, and Ethical Considerations
U2 - Computer Vision Fundamentals
- E1 - Computer Vision Overview
- E2 - State-of-the-art Vision Techniques
- E3 - Image Formation
- E4 - Image Processing and Manipulation
- E5 - Dimensionality Reduction: Feature Selection and Extraction
- E6 - Image Segmentation
- E7 - Image Classification
- E8 - Video Basics
- E9 - Feature Detection and Matching
- E10 - Object Detection and Tracking, Motion Estimation, Facial Recognition, Scene Understanding and 3D Reconstruction
U3 - Computer Vision in Practice
- E1 - Familiarization With Well-Known Computer Vision Tools
- E2 - Analysis and Exploration of Typical Problems or Tasks Pursued in Computer Vision
- E3 - Resolution of Common Computer Vision Problems
- E3 - Questions