ICP算法最初由Besl和Mckey提出,是一种基于轮廓特征的点配准方法。基准点在CT图像坐标系及世界坐标系下的坐标点集P = {Pi, i = 0,1, 2,…,k}及U = {Ui,i=0,1,2,…,n}。其中,U与P元素间不必存在一一对应关系,元素数目亦不必相同,设k≥n。配准过程就是求取2个坐标系间的旋转和平移变换矩阵,使得来自U与P的同源点间距离最小。其过程如下:
(1)计算最近点,即对于集合U中的每一个点,在集合P中都找出距该点最近的对应点,设集合P中由这些对应点组成的新点集为Q = {qi,i = 0,1,2,…,n}。
(2)采用最小均方根法,计算点集U与Q之间的配准,使得到配准变换矩阵R,T,其中R是3×3的旋转矩阵,T是3×1的平移矩阵。
(3)计算坐标变换,即对于集合U,用配准变换矩阵R,T进行坐标变换,得到新的点集U1,即U1 = RU + T
(4)计算U1与Q之间的均方根误差,如小于预设的极限值ε,则结束,否则,以点集U1替换U,重复上述步骤。
数学描述(感觉更好理解一些)
,他们的欧式距离表示为:
,
,利用最小二乘法求解最优解使:
VTK中有一个类vtkIterativeClosestPointTransform实现了ICP算法,并将ICP算法保存在一个4×4的齐次矩阵中。下面就跟着官方demo来实践一下。
升级cmake
编译VTK6.1需要cmake2.8.8以上。
解压终端cd进目录
sudo ./bootstrap
make
sudo make install
编译VTK6.1
官网下载解压终端cd进目录
mkdir build
cd build
cmake ..
make
sudo make install
ICP的输入是两个点云,这里关乎格式转换、读取的问题的问题。
对新手来说,xyz是做好的读取文件了,只含有坐标信息,而且是文本信息。如果不是.xyz格式,用meshlab导出一个ply,把文件头部的说明去掉,扩展名改成xyz就可以了。
代码:
#include <vtkVersion.h>
#include <vtkSmartPointer.h>
#include <vtkTransform.h>
#include <vtkVertexGlyphFilter.h>
#include <vtkPoints.h>
#include <vtkPolyData.h>
#include <vtkCellArray.h>
#include <vtkIterativeClosestPointTransform.h>
#include <vtkTransformPolyDataFilter.h>
#include <vtkLandmarkTransform.h>
#include <vtkMath.h>
#include <vtkMatrix4x4.h>
#include <vtkXMLPolyDataWriter.h>
#include <vtkPolyDataMapper.h>
#include <vtkActor.h>
#include <vtkRenderWindow.h>
#include <vtkRenderer.h>
#include <vtkRenderWindowInteractor.h>
#include <vtkXMLPolyDataReader.h>
#include <vtkProperty.h>
#include <vtkPLYReader.h>
#include <sstream>
#include <iostream>
int main(int argc, char *argv[])
{
vtkSmartPointer<vtkPolyData> sourceTmp =
vtkSmartPointer<vtkPolyData>::New();
vtkSmartPointer<vtkPolyData> targetTmp =
vtkSmartPointer<vtkPolyData>::New();
vtkSmartPointer<vtkPolyData> source =
vtkSmartPointer<vtkPolyData>::New();
vtkSmartPointer<vtkPolyData> target =
vtkSmartPointer<vtkPolyData>::New();
if(argc == 3)
{
// Get all data from the file
std::string strSource = argv[1];
std::string strTarget = argv[2];
std::ifstream fSource(strSource.c_str());
std::ifstream fTarget(strTarget.c_str());
std::string line;
vtkSmartPointer<vtkPoints> sourcePoints =
vtkSmartPointer<vtkPoints>::New();
vtkSmartPointer<vtkPoints> targetPoints =
vtkSmartPointer<vtkPoints>::New();
while(std::getline(fSource, line))
{
double x,y,z;
std::stringstream linestream;
linestream << line;
linestream >> x >> y >> z;
sourcePoints->InsertNextPoint(x, y, z);
}
sourceTmp->SetPoints(sourcePoints);
vtkSmartPointer<vtkVertexGlyphFilter> vertexFilter1 =
vtkSmartPointer<vtkVertexGlyphFilter>::New();
#if VTK_MAJOR_VERSION <= 5
vertexFilter1->SetInputConnection(sourceTmp->GetProducerPort());
#else
vertexFilter1->SetInputData(sourceTmp);
#endif
vertexFilter1->Update();
source->ShallowCopy(vertexFilter1->GetOutput());
while(std::getline(fTarget, line))
{
double x,y,z;
std::stringstream linestream;
linestream << line;
linestream >> x >> y >> z;
targetPoints->InsertNextPoint(x, y, z);
}
targetTmp->SetPoints(targetPoints);
vtkSmartPointer<vtkVertexGlyphFilter> vertexFilter2 =
vtkSmartPointer<vtkVertexGlyphFilter>::New();
#if VTK_MAJOR_VERSION <= 5
vertexFilter2->SetInputConnection(targetTmp->GetProducerPort());
#else
vertexFilter2->SetInputData(targetTmp);
#endif
vertexFilter2->Update();
target->ShallowCopy(vertexFilter2->GetOutput());
}
else
{
std::cout << "Error data..." << std::endl;
}
// Setup ICP transform
vtkSmartPointer<vtkIterativeClosestPointTransform> icp =
vtkSmartPointer<vtkIterativeClosestPointTransform>::New();
icp->SetSource(source);
icp->SetTarget(target);
icp->GetLandmarkTransform()->SetModeToRigidBody();
icp->SetMaximumNumberOfIterations(20);
//icp->StartByMatchingCentroidsOn();
icp->Modified();
icp->Update();
cout<<"bitch"<<endl;
// Get the resulting transformation matrix (this matrix takes the source points to the target points)
vtkSmartPointer<vtkMatrix4x4> m = icp->GetMatrix();
std::cout << "The resulting matrix is: " << *m << std::endl;
// Transform the source points by the ICP solution
vtkSmartPointer<vtkTransformPolyDataFilter> icpTransformFilter =
vtkSmartPointer<vtkTransformPolyDataFilter>::New();
#if VTK_MAJOR_VERSION <= 5
icpTransformFilter->SetInput(source);
#else
icpTransformFilter->SetInputData(source);
#endif
icpTransformFilter->SetTransform(icp);
icpTransformFilter->Update();
/*
// If you need to take the target points to the source points, the matrix is:
icp->Inverse();
vtkSmartPointer<vtkMatrix4x4> minv = icp->GetMatrix();
std::cout << "The resulting inverse matrix is: " << *minv << std::cout;
*/
// Visualize
vtkSmartPointer<vtkPolyDataMapper> sourceMapper =
vtkSmartPointer<vtkPolyDataMapper>::New();
#if VTK_MAJOR_VERSION <= 5
sourceMapper->SetInputConnection(source->GetProducerPort());
#else
sourceMapper->SetInputData(source);
#endif
vtkSmartPointer<vtkActor> sourceActor =
vtkSmartPointer<vtkActor>::New();
sourceActor->SetMapper(sourceMapper);
sourceActor->GetProperty()->SetColor(1,0,0);
sourceActor->GetProperty()->SetPointSize(4);
vtkSmartPointer<vtkPolyDataMapper> targetMapper =
vtkSmartPointer<vtkPolyDataMapper>::New();
#if VTK_MAJOR_VERSION <= 5
targetMapper->SetInputConnection(target->GetProducerPort());
#else
targetMapper->SetInputData(target);
#endif
vtkSmartPointer<vtkActor> targetActor =
vtkSmartPointer<vtkActor>::New();
targetActor->SetMapper(targetMapper);
targetActor->GetProperty()->SetColor(0,1,0);
targetActor->GetProperty()->SetPointSize(4);
vtkSmartPointer<vtkPolyDataMapper> solutionMapper =
vtkSmartPointer<vtkPolyDataMapper>::New();
solutionMapper->SetInputConnection(icpTransformFilter->GetOutputPort());
vtkSmartPointer<vtkActor> solutionActor =
vtkSmartPointer<vtkActor>::New();
solutionActor->SetMapper(solutionMapper);
solutionActor->GetProperty()->SetColor(0,0,1);
solutionActor->GetProperty()->SetPointSize(3);
// Create a renderer, render window, and interactor
vtkSmartPointer<vtkRenderer> renderer =
vtkSmartPointer<vtkRenderer>::New();
vtkSmartPointer<vtkRenderWindow> renderWindow =
vtkSmartPointer<vtkRenderWindow>::New();
renderWindow->AddRenderer(renderer);
vtkSmartPointer<vtkRenderWindowInteractor> renderWindowInteractor =
vtkSmartPointer<vtkRenderWindowInteractor>::New();
renderWindowInteractor->SetRenderWindow(renderWindow);
// Add the actor to the scene
renderer->AddActor(sourceActor);
renderer->AddActor(targetActor);
renderer->AddActor(solutionActor);
renderer->SetBackground(.3, .6, .3); // Background color green
// Render and interact
renderWindow->Render();
renderWindowInteractor->Start();
return EXIT_SUCCESS;
}
cmake_minimum_required(VERSION 2.8)
PROJECT(IterativeClosestPointsTransform)
find_package(VTK REQUIRED)
include(${VTK_USE_FILE})
add_executable(IterativeClosestPointsTransform MACOSX_BUNDLE IterativeClosestPointsTransform)
if(VTK_LIBRARIES)
target_link_libraries(IterativeClosestPointsTransform ${VTK_LIBRARIES})
else()
target_link_libraries(IterativeClosestPointsTransform vtkHybrid)
endif()微小的点云平移:
稍微大一些的平移
加入旋转量
绿色是target,红色是source,蓝色是solution。
和同学一起试用了几种ICP的方法,包括PCL的和VTK的,得到的结果都差不多。并不是很理想,感觉最好的Registration适用情况应该是从不同方位扫描一个物体,然后将点云进行配准,而且点云的算法的初始状态也有要求,一是要有点云的重合,二是不能分开得太远。
【3D】迭代最近点算法 Iterative Closest Points
ICP算法(Iterative Closest Point)及VTK实现
原文:http://blog.csdn.net/silangquan/article/details/21413747