4 citations · 5 across the 10 of their papers we have counts for
12 papers · 1 filter
AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation
Yang Zou, Zhaoshuai Qi, Yating Liu +6
Object pose estimation, which plays a vital role in robotics, augmented reality, and autonomous driving, has been of great interest in computer vision. Existing studies either requ…
HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration
Xiyu Zhang, Jiayi Ma, Jianwei Guo +5
Geometric constraints between feature matches are critical in 3D point cloud registration problems. Existing approaches typically model unordered matches as a consistency graph and…
3D Single-object Tracking in Point Clouds with High Temporal Variation
Qiao Wu, Kun Sun, Pei An +3
The high temporal variation of the point clouds is the key challenge of 3D single-object tracking (3D SOT). Existing approaches rely on the assumption that the shape variation of t…
Indoor 3D Reconstruction with an Unknown Camera-Projector Pair
Zhaoshuai Qi, Yifeng Hao, Rui Hu +3
Structured light-based method with a camera-projector pair (CPP) plays a vital role in indoor 3D reconstruction, especially for scenes with weak textures. Previous methods usually…
Instance by Instance: An Iterative Framework for Multi-instance 3D Registration
Xinyue Cao, Xiyu Zhang, Yuxin Cheng +3
Multi-instance registration is a challenging problem in computer vision and robotics, where multiple instances of an object need to be registered in a standard coordinate system. I…
3D Registration with Maximal Cliques
Xiyu Zhang, Jiaqi Yang, Shikun Zhang +1
As a fundamental problem in computer vision, 3D point cloud registration (PCR) aims to seek the optimal pose to align a point cloud pair. In this paper, we present a 3D registratio…