skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


  • Home
  • Search Results
  • Page 1 of 1

Search for: All records

Creators/Authors contains: "Zhong, Sikai"

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. ; ; ; ; ; ; ; ; ; (, ACM)
    Free, publicly-accessible full text available December 3, 2025
  2. ; ; (, Computer Aided Geometric Design)
    Full Text Available 
  3. ; ; ; ; ; (, ACM transactions on graphics)
    null (Ed.)
    Accepted Manuscript Full Text Available
  4. ; ; (, Computer aided geometric design)
    This paper introduces a new unified particle-based formulation for resamplings with specific patterns from original point clouds. Given the input point clouds, the proposed Lp-Gaussian kernel function is defined to simulate the inter-particle energy and force to form the isotropic/adaptive/anisotropic hexagonal and quadrilateral sampling patterns. Then, the particle-based optimization can be easily formulated and computed in parallel scheme with the high-efficiency and the fast convergence, without any control of particle population. Finally, based on the optimized particle distribution, the high-quality surface meshes are reconstructed by computing the restricted Voronoi diagram and its dual mesh with the parallel implementation. The experimental results are demonstrated by using extensive examples and evaluation criteria as well as compared with the state-of-the-art in the point cloud resampling and reconstruction. 
    more » « less
    Accepted Manuscript Full Text Available