Boundary Preserving SuperVoxel Clustering with CUDA acceleration

Authors: [Shi-Sheng Huang], please contact with me via shishenghuang.net@gmail.com

This is a C++ implementation of SuperVoxel cluster with CUDA acceleration, tested in Ubuntu 16.04

The details can be found in the following ISPRS 2018 paper

Lin Y, Wang C, Zhai D, W Li, and J Li. Toward better boundary preserved supervoxel segmentation for 3D point clouds. Isprs Journal of Photogrammetry & Remote Sensing, vol. 143, pages 39-47, 2018.

2. Prerequisites

We have tested the library in 16.04, but it should be easy to compile in other platforms. A powerful computer (e.g. i7) will ensure real-time performance and provide more stable and accurate results.

C++11 or C++0x Compiler

We use the new thread and chrono functionalities of C++11.

CUDA (e.g. version 9.0 higher), tested on CUDA 10.0, CUDA 9.0 may be ok

REQUIRED for all GPU accelerated code at least with cmake it is still possible to compile the CPU part without available at https://developer.nvidia.com/cuda-downloads

Glog

sudo apt-get install libgflags-dev libgoogle-glog-dev

3. Compile

build the Thirdparty

cd Thirdparty
mkdir build
cd build
cmake ..
make -j8

build the libnormal.so libsupervoxel.so and examples

mkdir build
cd build
cmake ..
make -j4

4. Usage

how to use

1. Run the example

cd bin
./svcluster

caomw/SuperVoxelCuda