ParametricNet: 6DoF Pose Estimation Network for Parametric Shapes in Stacked Scenarios
Long Zeng Wei Jie Lv Xin Yu Zhang Yong Jin Liu Long Zeng Wei Jie Lv Xin Yu Zhang Yong Jin Liu
Most industrial parts are parametric and their special properties are not fully explored yet. This paper proposes a new 6DoF pose estimation network for parametric shapes in stacked scenarios (ParametricNet). It treats a parametric shape, instead of a part object, as a category. The keypoints of individual instances are learned with point- wise regression and Hough voting scheme, from which specif...