# normals_Hough

**Repository Path**: a1914442689/normals_Hough

## Basic Information

- **Project Name**: normals_Hough
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2020-05-20
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# normals_Hough

Normal Estimation in Unstructured Point Clouds with Hough transform

# Paper

Please acknowledge our the reference paper :

"Deep Learning for Robust Normal Estimation in Unstructured Point Clouds " by Alexandre Boulch and Renaud Marlet, Symposium of Geometry Processing 2016, Computer Graphics Forum

# Code

The code for normal estimation is C++ hearder only. Three version are proposed, previous version are located in cgal/ en pcl/ relies on CGAL and PCL libriaries.
The current version Normals.h relies on Eigen and nanoflann (assumed to be in the source folder when compiling).

# Usage

HoughCNN_Exec [options] -i input_file.xyz -o output_file.xyz

# Author webpage

[Alexandre Boulch](https://sites.google.com/site/boulchalexandre)

# Previous version

Previous version of the code are located in folders cgal/ and pcl/