This repository tracks my step-by-step journey through foundational concepts in Image Processing and Computer Vision.
The learning is based on the lecture series: First Principles of Computer Vision and the book Computer Vision: Algorithms and Applications by Richard Szeliski, combined with hands-on coding implementations and deep dives into the math and geometry involved.
- Implement all key concepts in Python from scratch.
- Build a portfolio of visual demos, simulations, and experiments.
- Track concepts, formulas, and insights in markdown notes.