A Survey of Surface Reconstruction from Point Clouds
Article Properties
-
LanguageEnglish
-
DOI (url)
-
Publication Date2016/03/30
-
Journal
-
Indian UGC (journal)
-
Refrences137
-
Citations194
-
Matthew Berger Air Force Research Laboratory Information Directorate Rome NY USA
-
Andrea Tagliasacchi École Polytechnique Fédérale de Lausanne (EPFL) Lausannne SwitzerlandUniversity of Victoria Victoria Canada
-
Lee M. Seversky Air Force Research Laboratory Information Directorate Rome NY USA
-
Pierre Alliez Inria Sophia Antipolis‐Méditerranée Valbonne France
-
Gaël Guennebaud Inria Bordeaux Sud‐Ouest Talence France
-
Joshua A. Levine Clemson University Clemson SC USA
-
Andrei Sharf Ben‐Gurion University Beersheba Israel
-
Claudio T. Silva New York University New York NY USA
Abstract
Cite
Berger, Matthew, et al. “A Survey of Surface Reconstruction from Point Clouds”. Computer Graphics Forum, vol. 36, no. 1, 2016, pp. 301-29, https://doi.org/10.1111/cgf.12802.
Berger, M., Tagliasacchi, A., Seversky, L. M., Alliez, P., Guennebaud, G., Levine, J. A., Sharf, A., & Silva, C. T. (2016). A Survey of Surface Reconstruction from Point Clouds. Computer Graphics Forum, 36(1), 301-329. https://doi.org/10.1111/cgf.12802
Berger, Matthew, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Gaël Guennebaud, Joshua A. Levine, Andrei Sharf, and Claudio T. Silva. “A Survey of Surface Reconstruction from Point Clouds”. Computer Graphics Forum 36, no. 1 (2016): 301-29. https://doi.org/10.1111/cgf.12802.
Berger M, Tagliasacchi A, Seversky LM, Alliez P, Guennebaud G, Levine JA, et al. A Survey of Surface Reconstruction from Point Clouds. Computer Graphics Forum. 2016;36(1):301-29.
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
You May Also Like
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Feature‐preserving surface reconstruction and simplification from defect‐laden point sets | 2013 | |||
| Data‐driven flower petal modeling with botany priors | 2014 | |||
| Structure‐aware shape processing | 2013 | |||
| Voronoi‐based variational reconstruction of unoriented point sets | 2007 | |||
| Mesh‐independent surface interpolation | 2003 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| ToTem NRSfM: Object-Wise Non-rigid Structure-from-Motion with a Topological Template | International Journal of Computer Vision |
| 2024 | |
Multi-scale hash encoding based neural geometry representation | Computational Visual Media |
| 2024 | |
| Extending Point-Based Deep Learning Approaches for Better Semantic Segmentation in CAD | Computer-Aided Design |
| 2024 | |
| Interface-Based Search and Automatic Reassembly of CAD Models for Database Expansion and Model Reuse | Computer-Aided Design |
| 2024 | |
| Reconstruction and Preservation of Feature Curves in 3D Point Cloud Processing | Computer-Aided Design |
| 1 | 2024 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 96
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled The Photogrammetric Reconstruction Task Solved by Bundle Adjustment Directly with Pixel Bundles and was published in 2017. The most recent citation comes from a 2024 study titled Multi-scale hash encoding based neural geometry representation. This article reached its peak citation in 2022, with 38 citations. It has been cited in 94 different journals, 22% of which are open access. Among related journals, the ACM Transactions on Graphics cited this research the most, with 21 citations. The chart below illustrates the annual citation trends for this article.