2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
OCMG-Net: Neural Oriented Normal Refinement for Unstructured Point Clouds
Yingrui Wu, Mingyang Zhao, Weize Quan +3
We present a robust refinement method for estimating oriented normals from unstructured point clouds. In contrast to previous approaches that either suffer from high computational…
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting
Zhao Mingyang, Jia Xiaohong, Ma Lei +5
This work presents a novel and effective method for fitting multidimensional ellipsoids to scattered data in the contamination of noise and outliers. We approach the problem as a B…
Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
Mingyang Zhao, Jingen Jiang, Lei Ma +3
This paper presents a novel non-rigid point set registration method that is inspired by unsupervised clustering analysis. Unlike previous approaches that treat the source and targe…
E-Net: Efficient E(3)-Equivariant Normal Estimation Network
Hanxiao Wang, Mingyang Zhao, Weize Quan +3
Point cloud normal estimation is a fundamental task in 3D geometry processing. While recent learning-based methods achieve notable advancements in normal prediction, they often ove…