Deformation Estimation

Deformation estimation focuses on accurately measuring and modeling how shapes and objects change over time or due to external forces. Current research emphasizes developing robust and efficient methods for this, employing techniques like Kalman filtering, transformer-based architectures, and Procrustean alignment, often within the context of specific applications such as hand-face interaction or medical image analysis. These advancements are crucial for various fields, improving the accuracy of 3D reconstruction in virtual and augmented reality, enhancing quality control in manufacturing, and facilitating more precise medical diagnoses. The development of more generalizable and computationally efficient algorithms remains a key focus.