Search Results for author:
Found 5 papers, 2 papers with code
CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-scale Geometry
This work presents an accurate and robust method for estimating normals from point clouds.
Structure-Aware Surface Reconstruction via Primitive Assembly
We propose a novel and efficient method for reconstructing manifold surfaces from point clouds.
Dimensionality Reduced Antenna Array for Beamforming/steering
Finally, the 16/8/4 -array beam steering was demonstrated by using 4/3/2 active controllers, respectively.
GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation
We propose a precise and efficient normal estimation method that can deal with noise and nonuniform density for unstructured 3D point clouds.
Ranked #4 on
Surface Normals Estimation
on PCPNet
Robust Multi-view Registration of Point Sets with Laplacian Mixture Model
The proposed method assumes each data point is generated by a Laplacian Mixture Model (LMM), where its centers are determined by the corresponding points in other point sets.
