Stereo Image

Stereo image processing focuses on extracting three-dimensional information from pairs of images taken from slightly different viewpoints. Current research emphasizes improving the accuracy and efficiency of depth estimation, super-resolution, and other related tasks, often employing deep learning models like transformers and diffusion networks, along with novel cost aggregation and attention mechanisms. These advancements are driving progress in applications ranging from robotics and autonomous driving to medical imaging and remote sensing, enabling more accurate 3D scene reconstruction and object understanding.