Improved Event-Based Dense Depth Estimation via Optical Flow Compensation
Dianxi Shi,Luoxi Jing,Ruihao Li,Zhe Liu,Lin Wang,Huachi Xu,Yi Zhang,Dianxi Shi,Luoxi Jing,Ruihao Li,Zhe Liu,Lin Wang,Huachi Xu,Yi Zhang
Event cameras have the potential to overcome the limitations of classical computer vision in real-world applications. Depth estimation is a crucial step for high-level robotics tasks and has attracted much attention from the community. In this paper, we propose an event-based dense depth estimation architecture, Mixed-EF2DNet, which firstly predicts inter-grid optical flow to compensate for lost t...
