Fahd Alhamazani

Deep Learning for Canonical Reconstruction of Deformable Objects from Depth Images in Robotic Vision and SLAM-Aware Perception

This study presents a deep learning approach for reconstructing the default canonical pose of non-rigid objects from single depth images that combines short-range and long-range feature extraction with the original depth input to capture both local geometric details and global structural information.