This is my code:
#include "opencv2/core/core.hpp"
#include "opencv2/calib3d/calib3d.hpp"
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include "opencv2/contrib/contrib.hpp"
#include <cstdio>
#include <iostream>
#include <fstream>
#include "pcl/common/common_headers.h"
#include "pcl/io/io.h"
#include "pcl/visualization//pcl_visualizer.h"
#include <boost/thread/thread.hpp>
#include <pcl/io/pcd_io.h>
#include "pcl/point_cloud.h"
#include "pcl/visualization/cloud_viewer.h"
using namespace cv;
using namespace std;
using namespace pcl;
ofstream out("points.txt");
boost::shared_ptr<pcl::visualization::PCLVisualizer> createVisualizer (pcl::PointCloud<pcl::PointXYZRGB>::ConstPtr cloud)
{
boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer (new pcl::visualization::PCLVisualizer ("3D Viewer"));
viewer->setBackgroundColor (0, 0, 0);
pcl::visualization::PointCloudColorHandlerRGBField<pcl::PointXYZRGB> rgb(cloud);
viewer->addPointCloud<pcl::PointXYZRGB> (cloud, rgb, "reconstruction");
//viewer->setPointCloudRenderingProperties (pcl::visualization::PCL_VISUALIZER_POINT_SIZE, 3, "reconstruction");
viewer->addCoordinateSystem ( 1.0 );
viewer->initCameraParameters ();
return (viewer);
}
int main()
{
Mat img1, img2;
img1 = imread("I1.png");
img2 = imread("I2.png");
Mat g1,g2, disp, disp8;
cvtColor(img1, g1, CV_BGR2GRAY);
cvtColor(img2, g2, CV_BGR2GRAY);
int sadSize = 3;
StereoSGBM sbm;
sbm.SADWindowSize = sadSize;
sbm.numberOfDisparities = 144;//144; 128
sbm.preFilterCap = 10; //63
sbm.minDisparity = 0; //-39; 0
sbm.uniquenessRatio = 10;
sbm.speckleWindowSize = 100;
sbm.speckleRange = 32;
sbm.disp12MaxDiff = 1;
sbm.fullDP = true;
sbm.P1 = sadSize*sadSize*4;
sbm.P2 = sadSize*sadSize*32;
sbm(g1, g2, disp);
normalize(disp, disp8, 0, 255, CV_MINMAX, CV_8U);
Mat dispSGBMscale;
disp.convertTo(dispSGBMscale,CV_32F, 1./16);
double cm1[3][1] = {{8.941981e+02, 0.000000e+00, 6.601406e+02}, {0.000000e+00, 8.927151e+02, 2.611004e+02}, {0.000000e+00, 0.000000e+00, 1.000000e+00}};
double cm2[3][2] = {{8.800704e+02, 0.000000e+00, 6.635881e+02 }, {0.000000e+00, 8.798504e+02, 2.690108e+02}, {0.000000e+00, 0.000000e+00, 1.000000e+00}};
double d1[1][5] = {{ -3.695739e-01, 1.726456e-01, -1.281525e-03, 1.188796e-03, -4.284730e-02}};
double d2[1][5] = {{-3.753454e-01, 1.843265e-01, -1.307069e-03, 2.190397e-03, -4.989103e-02}};
Mat CM1 (3,3, CV_64FC1, cm1);
Mat CM2 (3,3, CV_64FC1, cm2);
Mat D1(1,5, CV_64FC1, d1);
Mat D2(1,5, CV_64FC1, d2);
double r[3][3] = {{9.998381e-01, 1.610234e-02, 8.033237e-03},{-1.588968e-02, 9.995390e-01, -2.586908e-02 },{-8.446087e-03, 2.573724e-02, 9.996331e-01}};
double t[3][4] = {{ -5.706425e-01}, {8.447320e-03}, {1.235975e-02}};
Mat R (3,3, CV_64FC1, r);
Mat T (3,1, CV_64FC1, t);
//Mat R, T;
Mat R1, R2, T1, T2, Q, P1, P2;
stereoRectify(CM1, D1, CM2, D2, img1.size(), R, T, R1, R2, P1, P2, Q);
Mat points, points1;
reprojectImageTo3D(disp8, points, Q, true);
imshow("points", points);
cvtColor(points, points1, CV_BGR2GRAY);
imshow("points1", points1);
imwrite("disparity.jpg", disp8);
imwrite("points1.jpg", points1);
imwrite("points.jpg", points);
for(int i=0; i<points.rows; ++i)
{
Point3f* point = points.ptr<Point3f>(i) ;
for(int j=0; j<points.cols; ++j)
{
out<<i<<" "<<j<<" x: "<<(*point).x<<" y: "<<(*point).y<<" z: "<<(*point).z<<endl;
++point;
}
}
pcl::PointCloud<pcl::PointXYZRGB>::Ptr cloud_xyzrgb (new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_xyz (new pcl::PointCloud<pcl::PointXYZ>);
for (int rows = 0; rows < points.rows; ++rows) {
for (int cols = 0; cols < points.cols; ++cols) {
cv::Point3f point = points.at<cv::Point3f>(rows, cols);
pcl::PointXYZ pcl_point(point.x, point.y, point.z); // normal PointCloud
pcl::PointXYZRGB pcl_point_rgb;
pcl_point_rgb.x = point.x; // rgb PointCloud
pcl_point_rgb.y = point.y;
pcl_point_rgb.z = point.z;
cv::Vec3b intensity = img1.at<cv::Vec3b>(rows,cols); //BGR
uint32_t rgb = (static_cast<uint32_t>(intensity[2]) << 16 | static_cast<uint32_t>(intensity[1]) << 8 | static_cast<uint32_t>(intensity[0]));
pcl_point_rgb.rgb = *reinterpret_cast<float*>(&rgb);
cloud_xyz->push_back(pcl_point);
cloud_xyzrgb->push_back(pcl_point_rgb);
}
}
std::cout << "saving a pointcloud to out.pcd\n";
////Create visualizer
//boost::shared_ptr<pcl::visualization::PCLVisualizer> viewer;
//viewer = simpleVis( cloud_xyz );
////Main loop
//while ( !viewer->wasStopped())
//{
// viewer->spinOnce(100);
// boost::this_thread::sleep (boost::posix_time::microseconds (100000));
//}
visualization::CloudViewer viewer("Simple Cloud Viewer");
viewer.showCloud(cloud_xyzrgb);
waitKey(0);
return 0;
}
My source images are: 
The disparity looks like: 
I tried different ways of view point cloud but in all cases I get black screen. What I am doing wrong? Am I generating point cloud the right way? Or am I wrong visualizing point cloud?
My point cloud xyz pcd file is: https://drive.google.com/file/d/0B1VdSoFbwNShUl9udXFIeTFIZ1k/view?usp=sharing
