Plane Detection

Plane detection focuses on accurately identifying and reconstructing planar surfaces within 3D scenes from various data sources, such as RGB-D images and videos, aiming to improve scene understanding and robotic applications. Current research emphasizes unified frameworks that integrate plane detection and reconstruction tasks within single neural networks, often leveraging transformer architectures or incorporating geometric and semantic information for improved accuracy. These advancements are significant for applications ranging from robotics and augmented reality to medical image analysis, enabling more robust scene modeling and improved automation in various fields.