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A collection of computer vision projects completed as part of the Georgia Tech CS 4476 course, taught by Professor James Hays.

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Georgia Tech CS 4476: Computer Vision Projects

This repository contains a collection of projects completed as part of the Georgia Tech CS 4476 Computer Vision course, taught by Professor James Hays. The course website can be found here.

Projects Overview

The repository contains the following projects:

  1. Project 1: Image Filtering and Hybrid Images
  2. Project 2: Local Feature Matching
  3. Project 3: Camera Calibration and Fundamental Matrix Estimation
  4. Project 4: Scene Recognition with Bag of Words
  5. Project 5: Face Detection with a Sliding Window

Each project folder includes its own README.md file with detailed information about the specific project, its objectives, and the techniques used.

Course Description

CS 4476 covers the fundamentals of computer vision, including image formation, feature detection, segmentation, multiple-view geometry, and object and scene recognition. The course emphasizes hands-on learning through programming assignments and projects that provide practical experience with computer vision algorithms and techniques.

Repository Structure

gt-cs4476-projects/
├── project1/
│ ├── <Project 1 files>
│ └── README.md
├── project2/
│ ├── <Project 2 files>
│ └── README.md
├── project3/
│ ├── <Project 3 files>
│ └── README.md
├── project4/
│ ├── <Project 4 files>
│ └── README.md
├── project5/
│ ├── <Project 5 files>
│ └── README.md
└── README.md

License

This project is licensed under the MIT License.

Acknowledgements

I would like to thank Professor James Hays and the course staff for their guidance and support throughout the course.

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A collection of computer vision projects completed as part of the Georgia Tech CS 4476 course, taught by Professor James Hays.

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