99 citations · 244 across the 32 of their papers we have counts for
4 papers · 1 filter
Segmentation-Driven Feature-Preserving Mesh Denoising
Weijia Wang, Wei Pan, Chaofan Dai +4
Feature-preserving mesh denoising has received noticeable attention in visual media, with the aim of recovering high-fidelity, clean mesh shapes from the ones that are contaminated…
Deep Feature-preserving Normal Estimation for Point Cloud Filtering
Dening Lu, Xuequan Lu, Yangxing Sun +1
Point cloud filtering, the main bottleneck of which is removing noise (outliers) while preserving geometric features, is a fundamental problem in 3D field. The two-step schemes inv…
Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling
Dongbo Zhang, Xuequan Lu, Hong Qin +1
Point cloud filtering is a fundamental problem in geometry modeling and processing. Despite of significant advancement in recent years, the existing methods still suffer from two i…
Low Rank Matrix Approximation for Geometry Filtering
Xuequan Lu, Scott Schaefer, Jun Luo +2
We propose a robust normal estimation method for both point clouds and meshes using a low rank matrix approximation algorithm. First, we compute a local feature descriptor for each…