Orthogonal Plane

Orthogonal planes, representing mutually perpendicular surfaces, are a focus of current research across diverse fields. Researchers are exploring their application in efficient 3D scene reconstruction, particularly for deformable objects like tissues in surgery and indoor environments, often leveraging neural network architectures like neural radiance fields to achieve faster and more accurate results. This approach also finds use in robotics and autonomous driving, where orthogonal planes facilitate tasks such as pathway protection and depth estimation for safe navigation. The improved efficiency and accuracy offered by these methods hold significant promise for advancing applications in medical imaging, robotics, and computer vision.