MFPN-6D : Real-time One-stage Pose Estimation of Objects on RGB Images
Penglei Liu,Qieshi Zhang,Jin Zhang,Fei Wang,Jun Cheng,Penglei Liu,Qieshi Zhang,Jin Zhang,Fei Wang,Jun Cheng
6D pose estimation of objects is an important part of robot grasping. The latest research trend on 6D pose estimation is to train a deep neural network to directly predict the 2D projection position of the 3D key points from the image, establish the corresponding relationship, and finally use Pespective-n-Point (PnP) algorithm performs pose estimation. The current challenge of pose estimation is t...
