Computer Vision

The lectures in this course covered the following topics:

• Structure of Images: Image Formation
• Structure of Images: Texture, Scenes and Context
• Local and Multiscale Representation
• Image Analysis
• Scenes
• Machine Learning for Computer Vision
• Deep Learning for Computer Vision
• Single View Reconstruction
• Absolute 3D Reconstruction
• Multiview Geometry

The exercise part consisted in implementing:

1. Scale-Invariant Blob Detection
2. Image Stitching
3. Scene Recognition using Bag of Words
4. Scene Recognition using Convolutional Neural Networks
5. Transfer Learning