Learning Optical Flow with R-CNN for Visual Odometry
Yingping Huang,Baigan Zhao,Chong Gao,Xing Hu,Yingping Huang,Baigan Zhao,Chong Gao,Xing Hu
Addressing on monocular visual odometry problem, this paper presents a novel end-to-end network for estimation of camera ego-motion. The network learns the latent space of optical flow (OF) and models sequential dynamics so that the motion estimation is constrained by the relations between sequential images. We compute the OF field of consecutive images and extract the latent OF representation in ...
