Computer Vision Repository

This repository contains key computer vision algorithms and techniques, with plans for future deep learning additions.

Contents

1. Introduction
2. Corner Detection and Feature Matching
3. Epipolar Geometry and Edge Detection
4. Fourier Transform and AHE (Adaptive Histogram Equalization)
5. Transformation
6. Upcoming: Deep Learning and CNNs

Topics

• Corner Detection and Feature Matching: Detect and match keypoints using methods like Harris, SIFT, and ORB.
• Epipolar Geometry & Edge Detection: Stereo vision and edge detection algorithms like Canny and Sobel.
• Fourier Transform & AHE: Frequency domain analysis and contrast enhancement using Adaptive Histogram Equalization.
• Transformation: Image manipulations including rotation, scaling, and affine transformations.

Future Work: Deep Learning and CNNs

• Introduction to Neural Networks and CNNs.
• Image classification, object detection, and transfer learning using popular architectures.

Usage

1. Clone the repo: git clone <repo-url>

Contribution

Contributions and suggestions for new topics are welcome.