3D Line

3D line representation and processing are crucial for scene understanding and robotic applications, focusing on robustly extracting, mapping, and utilizing 3D lines from various data sources like images and LiDAR. Current research emphasizes developing improved algorithms for 3D line extraction and mapping, often incorporating deep learning techniques for feature extraction and geometric reasoning to handle challenges like noise and degeneracy. These advancements enable more accurate and efficient 3D scene reconstruction, improving applications such as visual localization, SLAM (Simultaneous Localization and Mapping), and LiDAR-based registration.