A Fast and Simple Surface Reconstruction Algorithm

Article Properties
  • Language
    English
  • DOI (url)
  • Publication Date
    2017/03/10
  • Indian UGC (journal)
  • Refrences
    26
  • Citations
    2
  • Siu-Wing Cheng Department of Computer Science and Engineering, HKUST, Hong Kong
  • Jiongxin Jin Google Inc., Seattle, WA,USA
  • Man-Kit Lau Department of Computer Science and Engineering, HKUST, Hong Kong
Abstract
Cite
Cheng, Siu-Wing, et al. “A Fast and Simple Surface Reconstruction Algorithm”. ACM Transactions on Algorithms, vol. 13, no. 2, 2017, pp. 1-30, https://doi.org/10.1145/3039242.
Cheng, S.-W., Jin, J., & Lau, M.-K. (2017). A Fast and Simple Surface Reconstruction Algorithm. ACM Transactions on Algorithms, 13(2), 1-30. https://doi.org/10.1145/3039242
Cheng, Siu-Wing, Jiongxin Jin, and Man-Kit Lau. “A Fast and Simple Surface Reconstruction Algorithm”. ACM Transactions on Algorithms 13, no. 2 (2017): 1-30. https://doi.org/10.1145/3039242.
Cheng SW, Jin J, Lau MK. A Fast and Simple Surface Reconstruction Algorithm. ACM Transactions on Algorithms. 2017;13(2):1-30.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Technology
Technology (General)
Industrial engineering
Management engineering
Applied mathematics
Quantitative methods
Refrences
Title Journal Journal Categories Citations Publication Date
Normal variation with adaptive feature size. ArXiv e-prints 2014
Proceedings of the 16th Annual ACM-SIAM Symposium on Discrete Algorithms. 1018--1027
Proceedings of the 13th Annual ACM-SIAM Symposium on Discrete Algorithms. 781--790
Proceedings of the 11th Scandinavian Workshop on Algorithm Theory. 270--281
European Workshop on Computational Geometry
Citations
Title Journal Journal Categories Citations Publication Date
Ship hull surface reconstruction from scattered points cloud using an RBF neural network mapping technology Computers & Structures
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
1 2023
Parallel surface reconstruction for large‐scale scenes in the wild

International Journal of Circuit Theory and Applications
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
2021
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Parallel surface reconstruction for large‐scale scenes in the wild and was published in 2021. The most recent citation comes from a 2023 study titled Ship hull surface reconstruction from scattered points cloud using an RBF neural network mapping technology. This article reached its peak citation in 2023, with 1 citations. It has been cited in 2 different journals. Among related journals, the Computers & Structures cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year