This project uses the Point Cloud Library (PCL) to analyze 3D data points and produce a mesh.
The input data set is a mx3 matrix where each column represents an x, y, and z coordinate respectively. The input file of points is formatted as follows
x_1 y_1 z_1
x_2 y_2 z_2
...
x_m y_m z_m
with a space between each coordinate of a point on a line.
build – CMake build files
bin – Executables for Intrepid
data – 3D scans from the Project Tango tablet
ttp - Converts a .txt file to 2 .pcd files (with/without normals)
mcr - Uses the Marching Cubes algorithm (Hoppe or RBF) to generate a mesh from a pcd with normals.
This subproject takes in input .pcd file and generates a mesh that uses either a radial basis function (RBF) or Hoppe marching cubes as described in Surface Reconstruction from Unorganized Points (Hoppe et al.)
## userguide
run this file as follow:
`ttp` - txt-to-pcd.cpp
`mcr` - mcr.cpp
`vtp` - vtk2ply.cpp
## Copyrights
Copyright (c) 2015. Mohit Deshpande
Copyright (c) 2012, Willow Garage, Inc.