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

8 December 2020

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

4 / 4 papers shown

Title
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 3DPC 3DV 24 12 0 20 May 2024
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 17 0 0 23 Oct 2022
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu Bin Fan Gaofeng Meng Jiwen Lu Shiming Xiang Chunhong Pan 3DPC 117 270 0 09 Sep 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 768 0 30 Mar 2018