Introduction:
In recent years, extended reality (XR) technologies, including virtual reality (VR) and augmented reality (AR), have gained significant traction across various industries, offering immersive and interactive experiences. One of the key challenges in XR development is the digitalization of physical objects, enabling seamless integration of real-world elements into virtual environments. This master's thesis proposal aims to explore methods and techniques for digitalizing physical objects for extended reality applications, transitioning from the real world to the virtual realm. By leveraging advanced imaging, computer vision and modelling technologies, this research seeks to enhance the creation and integration of virtual objects, ultimately enriching the XR experience for users.
Objectives:
- Investigate existing methods and technologies for digitalizing physical objects and environments for extended reality applications.
- Develop strategies for capturing and digitizing physical objects, considering factors such as accuracy, resolution, and scalability.
- Explore techniques for processing and converting captured data into virtual representations suitable for XR environments.
- Evaluate the performance and fidelity of the developed digitalization methods through qualitative and quantitative analysis.
Expected Outcomes:
- Development of strategies and techniques for digitalizing physical objects and environments for extended reality applications.
- Demonstration of improved accuracy, resolution, and scalability in capturing and digitizing physical objects.
- Creation of virtual representations of physical objects suitable for seamless integration into extended reality environments.
- Evaluation of the performance and fidelity of the developed digitalization methods through experimental validation and report the results with quantitative measures.
Conclusion:
This master's thesis proposal outlines a research line aimed at exploring methods and techniques for digitalizing physical objects for extended reality applications. By leveraging advanced imaging, computer vision and modelling technologies, this research seeks to enhance the creation and integration of virtual objects, ultimately enriching the XR experience for the user. It will also pave the way for future robotic and XR applications.