22 citations · 31 across the 8 of their papers we have counts for
9 papers
3D Correspondence Grouping with Compatibility Features
Jiaqi Yang, Jiahao Chen, Zhiqiang Huang +3
We present a simple yet effective method for 3D correspondence grouping. The objective is to accurately classify initial correspondences obtained by matching local geometric descri…
LRF-Net: Learning Local Reference Frames for 3D Local Shape Description and Matching
Angfan Zhu, Jiaqi Yang, Weiyue Zhao +1
The local reference frame (LRF) acts as a critical role in 3D local shape description and matching. However, most of existing LRFs are hand-crafted and suffer from limited repeatab…
Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology
Chen Zhao, Jiaqi Yang, Xin Xiong +3
Point cloud analysis is a fundamental task in 3D computer vision. Most previous works have conducted experiments on synthetic datasets with well-aligned data; while real-world poin…
Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence
Chen Zhao, Jiaqi Yang, Ke Xian +2
Matching corresponding features between two images is a fundamental task to computer vision with numerous applications in object recognition, robotics, and 3D reconstruction. Curre…
A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching
Jiaqi Yang, Ke Xian, Peng Wang +1
Seeking consistent point-to-point correspondences between 3D rigid data (point clouds, meshes, or depth maps) is a fundamental problem in 3D computer vision. While a number of corr…
Comparative evaluation of 2D feature correspondence selection algorithms
Chen Zhao, Jiaqi Yang, Yang Xiao +1
Correspondence selection aiming at seeking correct feature correspondences from raw feature matches is pivotal for a number of feature-matching-based tasks. Various 2D (image) corr…