Fast and robust algorithm to extract edges in unorganized point clouds.
Source code and the dataset for this paper:
Fast and Robust Edge Extraction in Unorganized Point Clouds (Dena Bazazian, Josep R Casas, Javier Ruiz-Hidalgo) - DICTA2015
-
Difference_Eigenvalues.cpp
includes the C++ source code for extracting edges in unorganized point clouds. -
F1Score-Eigenvalues.cpp
is for computing the accuracy of edge extraction. -
We have created some artificial point clouds in order to have a labeled dataset, since we have both the point clouds and ground truths. Hence, in the
ArtificialPointClouds
andGroundTruth
directories, you can find the artificial point clouds and their correspond ground truth. -
In addition, in the
artificial_point_cloud.cpp
you can access to the source code that we have generated those artificial point clouds.
Please cite this work in your publications if it helps your research:
@InProceedings{Bazazian15,
author = {Bazazian, Dena and Casas, Josep R and Ruiz-Hidalgo, Javier},
title = {Fast and Robust Edge Extraction in Unorganized Point Clouds},
booktitle = {Proceeding of International Confere on Digital Image Computing: Techniques and Applications (DICTA)},
publisher = {IEEE},
pages = {1-8},
year = {2015}
}