These are my notes for Computer Vision, COMP90086 at the University of Melbourne. Given the rather lean lecture slides, I've tried to add more detail.
These notes should be read via Obsidian. The latex and embedded media does not render very well via GitHub.
- Additional exercises off the internet
To get the notes, simply use the following:
git clone git@github.com:travisddavies/computer_vision_notes.git
- Imaging Basics
- Spatial Filtering
- Frequency Filtering
- Light, Colour & Shadow
- Edge Detection
- Convolutional Neural Networks I
- Convolutional Neural Networks II
- Deep Learning I
- Deep Learning II
- Features
- Feature Matching
- Depth and Stereo
- Multiview Depth
- Texture
- Shape
- Image Generation
- Generative Adversarial Networks (GANs)
- Image Segmentation I
- Image Segmentation II
- Object Detection I
- Object Detection II