Surface Deformation

Surface deformation analysis focuses on accurately measuring and modeling changes in the shape and position of surfaces, crucial for various applications from structural health monitoring to medical imaging. Current research emphasizes developing robust algorithms, including deep learning-based approaches like co-optimization networks and surface deformation networks, to handle challenges such as non-rigid motion, limited data availability, and noisy measurements. These advancements improve the accuracy and efficiency of deformation estimation across diverse fields, ranging from reconstructing 3D models from 2D images to monitoring the structural integrity of tunnels and retaining walls. The resulting improvements in measurement precision and automation have significant implications for safety, predictive modeling, and various engineering applications.