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ODFNet: Using orientation distribution functions to characterize 3D
  point clouds
v1v2 (latest)

ODFNet: Using orientation distribution functions to characterize 3D point clouds

8 December 2020
Y. Sahin
Alican Mertan
Gözde B. Ünal
    3DPC
ArXiv (abs)PDFHTML

Papers citing "ODFNet: Using orientation distribution functions to characterize 3D point clouds"

2 / 2 papers shown
A comprehensive overview of deep learning techniques for 3D point cloud
  classification and semantic segmentation
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation
Sushmita Sarker
Prithul Sarker
Gunner Stone
Ryan Gorman
Alireza Tavakkoli
G. Bebis
Javad Sattarvand
3DPC3DV
357
57
0
20 May 2024
Symmetry and Variance: Generative Parametric Modelling of Historical
  Brick Wall Patterns
Symmetry and Variance: Generative Parametric Modelling of Historical Brick Wall Patterns
Sevgi Altun
Mustafa Cem Gunes
Y. Sahin
Alican Mertan
Gözde B. Ünal
M. Özkar
208
0
0
23 Oct 2022
1
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