This paper presents a comprehensive survey on vision-based robotic grasping. We
conclude three key tasks during vision-based robotic grasping, which are object localization …

Over the past years, 3D point cloud registration has attracted unprecedented attention.
Researchers develop various approaches to tackle the challenging task, such as …

3D point cloud registration is fragile to outliers, which are labeled as the points without
corresponding points. To handle this problem, a widely adopted strategy is to estimate the …

Point cloud registration is a common step in many 3D computer vision tasks such as object
pose estimation, where a 3D model is aligned to an observation. Classical registration …

3D hand pose estimation is a challenging problem in computer vision due to the high
degrees-of-freedom of hand articulated motion space and large viewpoint variation. As a …

3-D point cloud registration in remote sensing field has been greatly advanced by deep
learning-based methods, where the rigid transformation is either directly regressed from the …

Most studies on point cloud registration have established the problem in the case of ideal
point cloud data. Although the state-of-the-art approaches have achieved amazing results …

Despite the fact that point cloud registration under noisy conditions has recently begun to be
tackled by several non-correspondence algorithms, they neither struggle to fuse the global …

Pose is a fundamental attribute of 3-D point cloud shape, which profoundly impacts point
cloud analysis tasks. However, it is very tricky to directly solve the pose attribute, since it is …

针对低质量三维点云数据配准精度不足, 效率低的问题, 为了实现低质量点云的精确, 快速配准,
提出一种基于子图匹配和强化学习的点云配准方法. 首先将三维点云配准转化为一系列离散的 …