Large Displacement

Large displacement analysis focuses on accurately measuring and modeling significant movements or deformations in various systems, from microscopic structures to large-scale infrastructure. Current research emphasizes developing robust algorithms and models, including graph neural networks, diffusion models, and variational optical flow techniques, to handle noisy data, complex geometries, and large deformations, often incorporating machine learning for improved accuracy and efficiency. These advancements are crucial for applications ranging from precise geodetic monitoring and structural health assessment to improved medical image registration and computer vision tasks, ultimately enhancing our ability to understand and predict dynamic processes across diverse fields.