Displacement Estimation

Displacement estimation, the process of determining the movement of objects or points within an image or sequence of images, is crucial across diverse fields like medical imaging and robotics. Current research focuses on improving accuracy and robustness, particularly in challenging scenarios with noisy data or complex motion patterns, employing deep learning models and incorporating physical constraints or alternative evaluation metrics like Mahalanobis distance to address limitations of traditional methods. These advancements are driving improvements in applications such as medical image registration, 3D ultrasound reconstruction, and trajectory prediction, leading to more accurate and reliable results in these fields.