COMPUTER visionPOINT cloudHUMAN bodyVISUAL learningPROSPECTINGIn recent years, as one of the important tasks of computer vision, 3D reconstruction has received extensive attention. This paper focuses on the research progress of using deep learning to reconstruct the 3D shape of general objects in ...
因此,根据他们的信息融合方法,传统的基于模型的视觉惯性方法大致可分为三类:滤波方法,固定滞后平滑器和完全平滑方法。 已经出现了数据驱动的方法来考虑直接从视觉和惯性测量中学习6自由度姿势,而无需人工干预或校准。VINet 是将视觉惯性里程表表达为顺序学习问题的第一项工作,并提出了一种深度神经网络框架以端到端的...