3D Landmark

3D landmark detection focuses on accurately identifying and locating key points in three-dimensional space, crucial for applications ranging from augmented reality to medical imaging. Current research emphasizes developing robust and efficient algorithms, including transformer-based networks and GANs, to improve landmark localization accuracy and address challenges like sparse data and noisy measurements. These advancements are driving progress in diverse fields, enabling more precise 3D modeling, improved pose estimation, and enhanced capabilities in minimally invasive surgery and virtual/augmented reality experiences.