3 accepted papers
Event cameras can show better performance than frame cameras in challenging scenarios, such as fast-moving environments or high-dynamic-range scenes. However, it is still difficult for event cameras to replace frame cameras in non-challenging normal scenarios. In order to leverage the advantages of
In the paper, we propose a robust real-time visual odometry in dynamic environments via rigid-motion model updated by scene flow. The proposed algorithm consists of spatial motion segmentation and temporal motion tracking. The spatial segmentation first generates several motion hypotheses by using a…
This paper proposes an edge-based robust RGB-D visual odometry (VO) using 2-D edge divergence minimization. Our approach focuses on enabling the VO to operate in more general environments subject to low texture and changing brightness, by employing image edge regions and their image gradient vectors…