| KEYWORD |
Analysis of markerless tracking systems for augmented reality applications in the surgical field
keywords AUGMENTED REALITY, COMPUTER VISION, SURGERY
Reference persons LUCA ULRICH
Research Groups 3D LAB
Thesis type SPERIMENTAL
Description Markerless tracking systems for augmented reality (AR) applications in the surgical field refer to advanced technologies that enable surgeons to visualize and interact with digital information without the need for physical markers or reference points in the real world.
These systems use computer vision and machine learning algorithms to understand and analyze the environment, allowing for precise spatial mapping. This capability can enhance surgical procedures by overlaying critical patient data, anatomical structures, or 3D models directly onto the surgical site view, which is typically observed through AR glasses or screens.
The benefits of markerless tracking in surgeries include improved accuracy in navigation, enhanced situational awareness, and potentially reduced surgical times. It allows for real-time updates and adjustments during procedures, facilitating more complex operations and better outcomes. As the technology continues to evolve, it holds the promise of significantly transforming surgical practices and improving patient safety.
Required skills Programming skills: Python
Deadline 25/10/2025
PROPONI LA TUA CANDIDATURA