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Next Best View computation using Occlusion Aware Volumetric Information

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Next Best View Computation

Using Occlusion Aware Volumetric Information

Description

This algorithm reads a PLC file and prints the Next Best View (NBV) coordinates based on the Occlusion Aware VI method presented in [1]. The resulting coordinates are computed in 2D, further updates will include 3D NBVs. The camera is set up as a kinect 1.

[1] Delmerico, J., Isler, S., Sabzevari, R. et al. Auton Robot (2018) 42: 197. https://doi.org/10.1007/s10514-017-9634-0

Installation

The algorithm uses Point Cloud Library and Octomap Library.

  • Point Cloud Library can be installed by running:
sudo add-apt-repository ppa:v-launchpad-jochen-sprickerhof-de/pcl
sudo apt-get update
sudo apt-get install libpcl-all

To run * Octomap it needs to be downloaded or cloned with:

git clone git://github.com/OctoMap/octomap.git

Build the complete project with cmake:

mkdir build
cd build
cmake ..

Afterwards it can be installed system-wide:

make install

Usage

The object and camera center can be set up in the float cloudCentroid[3]={1,0,0}; and octomap::point3d sensorOrigin(0,0,0); lines, the camera direction is assumed to be towards the centroid of the object.

A file named check.bt is created to visualize the Field of View of the camera towards the object, which can be opened with octovis included in the Octomap library.

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