I'm taking a Computer Vision class, which is a great opportunity for me to grisp a wide range of computer vision algorithms and code about them. This journey is amazing, and I found computer vision is so cool! Here is why:
- You know convolution much better if you try out different kernels that can either do image smoothing/filtering or detect edges.
- You would refresh and redefine your understanding of Linear Algebra if you try to understand how corner detection works. What is the exact meaning of eigen vectors/values? What is the relation of image translation to matrix transformation? I'm so thrilled to find out that computer vision is a tool to visualize the Linear Algebra concepts! By the way, I'm watching 3Blue1Brown's YouTube Channel along the side.
Note: Jupyter NBviewer linkes is used to view .ipynb file given that Github constantly run into rendering issues.
https://www.cs.toronto.edu/~mangas/teaching/320/slides/CSC320T12.pdf