🧬👀 Computer Vision

Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information.

📂 Why this notebook ?

I decided to make a collection of the algorithms that constitute foundations of Computer Vision.

There is one part for Image processing (Filtering, sampling, edges detection), and another one for Computer Vision (AI related).

├── AI & Vision
│   ├── Camera Calibration.ipynb
│   ├── Finding Homography
│   │   └── panorama.py
│   ├── Image Stitching.ipynb
│   ├── Project
│   │   └── images     
│   ├── SIFT-descriptor.ipynb
│   ├── data
│   │   ├── Thumbs.db
│   │   ├── homography
│   │   │   ├── book1.jpg
│   │   │   ├── book2.jpg
│   │   │   ├── full_panorama.jpg
│   │   │   ├── girl_art.jpg
│   │   │   ├── homography_explained.jpg
│   │   │   ├── image_stitching.png
│   │   │   ├── part1.jpg
│   │   │   ├── part2.jpg
│   │   │   └── unstitched
│   │   │       ├── first.jpg
│   │   │       ├── second.jpg
│   │   │       └── third.jpg
│   │   └── sift
│   │       ├── coffee.jpg
│   │       ├── desktop_coffee.jpg
│   │       ├── eren.jpg
│   │       ├── hessian.png
│   │       ├── keypoint_descriptor.png
│   │       ├── outliers_rejection.png
│   │       └── sift_descriptor.png
│   └── panorama.py
├── Image processing
│   ├── Contrast improvment.ipynb
│   ├── Gradient and Filters.ipynb
│   ├── Histograms.ipynb
│   ├── Images and Frequences.ipynb
│   ├── Interest points.ipynb
│   └──  Sampling and Quantification.ipynb
└───────