BundleFusion1Stanford University 2Max Planck Institute for Informatics 3Microsoft Research Abstract Real-time, high-quality, 3D scanning of large-scale scenes is key to mixed reality and robotic applications. However, scalability brings challenges of drift in pose estimation, introducing significant errors in the accumulated model. Approaches often require hours of offline processing to globally correct model
