Surface reconstruction by parallel and unified particle-based resampling from point clouds

DOI10.1016/j.cagd.2019.04.011zbMath1505.65113OpenAlexW2925967166WikidataQ128095274 ScholiaQ128095274MaRDI QIDQ2010272

Zichun Zhong, Jing Hua, Sikai Zhong

Publication date: 27 November 2019

Published in: Computer Aided Geometric Design (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cagd.2019.04.011

zbMATH Keywords

resamplingparallelparticlemeshingpoint clouds

Mathematics Subject Classification ID

Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Computer-aided design (modeling of curves and surfaces) (65D17)

Related Items

LRC-Net: learning discriminative features on point clouds by encoding local region contexts

Uses Software

• L-BFGS
• ANN
• PCL
• Thingi10K

Cites Work

• Unnamed Item
• On the limited memory BFGS method for large scale optimization
• Kernel-based adaptive sampling for image reconstruction and meshing
• Surface mesh quality evaluation
• Constrained Centroidal Voronoi Tessellations for Surfaces
• Continuous projection for fast L ₁ reconstruction
• Anisotropic simplicial meshing using local convex functions
• Anisotropic Centroidal Voronoi Tessellations and Their Applications
• Centroidal Voronoi Tessellations: Applications and Algorithms
• Least squares quantization in PCM
• Particle-based anisotropic surface meshing
• Edge-aware point set resampling