MO-GEOMETRY: Virtual Camera

Overview

This project demonstrates the intersection of conic sections and non-linear maps using a virtual camera. The application is built using Python and various libraries such as OpenCV, PIL, and Matplotlib.

Features

• Virtual Camera: Simulates a virtual camera to project and manipulate images.
• ChArUco Board Detection: Integrates ChArUco board detection for camera calibration and image manipulation.
• Interactive GUI: Provides an interactive GUI for importing images, manipulating them, and visualizing the results.

Installation

1. Clone the repository:

   git clone https://github.com/mo-geometry/conic_sections.git
   cd conic_sections

2. Create a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

Usage

1. Run the application:

   python main_app.py

2. Import an image: Use the GUI to import an image for manipulation.

3. Toggle ChArUco Board: Enable or disable the ChArUco board detection for calibration.

4. Manipulate Image: Use the provided tools to manipulate the image and visualize the results.

References

• GUI is based on the image viewer by "@ClearCode"
• B. O'Sullivan and P. Stec, "Sensor tilt via conic sections" IMVIP pages 141-144 (2020).
• P. Stec and B. O'Sullivan, "Method for compensating for the off axis tilting of a lens" United States patent number: 10,356,346 B1, July (2019).