Home | About Us | About the Project | UML Diagrams | Codes

About the Project¶

Our project aims to deliver a final product that combines images from two separate projectors into a single seamless image. These two images are processed using advanced image processing techniques, including gamma correction, alpha blending, and modified intensity, to ensure the desired final appearance. Our team consists of a project manager, a leader, and sub-teams dedicated to doxygen generation, wiki management, coding, commenting, and UML design.

We primarily rely on OpenCV and Python for our image processing.

Key Aspects of the Project:

- Image Processing with Python and OpenCV: We use Python in combination with OpenCV, a comprehensive image processing library, to handle complex image analysis and processing tasks efficiently.

- Structured Design with UML: We apply Unified Modeling Language (UML) to create a clear and structured design for our project. UML allows us to visually represent the system's architecture and workflows, making the design easy to understand and follow.

- Thorough Documentation with Doxygen: Our code is meticulously documented using Doxygen, ensuring that it is clear, maintainable, and adaptable for future use.

- Project Management with Redmine: We use Redmine to manage and track project progress, coordinate tasks, and facilitate team collaboration. This tool helps keep the project organized and on schedule.