Kinect v2+Opencv+PCL+libfreenect 获取点云、深度图、彩色图

废话不多说，直接上代码
这里我把图片展示的部分注释了，如果有需要直接展示的取消注释即可。

#include 
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#include 
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#include 
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#include 

using namespace std;
using namespace cv;

typedef pcl::PointXYZRGBA PointT;
typedef pcl::PointCloud PointCloud;

enum
{
	Processor_cl,
	Processor_gl,
	Processor_cpu
};

bool protonect_shutdown = false; // 是否将运行的程序关闭

void sigint_handler(int s)
{
	protonect_shutdown = true;
}
int main()
{
	//传感器初始化

	//定义变量
	cout << "本程序用于实时获取点云，并且获得RGB、深度图" << endl;
	cout << "正在初始化Kinect V2..." << endl;
	libfreenect2::Freenect2 freenect2;
	libfreenect2::Freenect2Device *dev = 0;
	libfreenect2::PacketPipeline *pipeline = 0;

	//搜寻并初始化传感器
	if (freenect2.enumerateDevices() == 0)
	{
		cout << "没有连接Kinect V2 请确保连接成功后重试..." << endl;
		return -1;
	}
	string serial = freenect2.getDefaultDeviceSerialNumber();
	cout << "连接Kinect V2 成功，设备号是：" << serial << endl;

#if 1
	int depthProcessor = Processor_cl;
	if (depthProcessor == Processor_cpu)
	{
		if (!pipeline)
			pipeline = new libfreenect2::CpuPacketPipeline();
	}
	else if (depthProcessor == Processor_gl)//如果支持gl
	{
#ifdef LIBFREENECT2_WITH_OPENGL_SUPPORT
		if (!pipeline)
		{
			pipeline = new libfreenect2::OpenGLPacketPipeline();
		}
#else
		cout << "OpenGL 管线不被支持！" << endl;
#endif // LIBFREENECT2_WITH_OPENGL_SUPPORT
	}
	else if (depthProcessor == Processor_cl)//如果支持cl
	{
#ifdef LIBFREENECT2_WITH_OPENCL_SUPPORT
		if (!pipeline)
			pipeline = new libfreenect2::OpenCLPacketPipeline();
#else
		cout << "OpenCL 管线不被支持！" << endl;
#endif // LIBFREENECT2_WITH_OPENCL_SUPPORT
	}

	//启动设备
	if (pipeline)
	{
		dev = freenect2.openDevice(serial, pipeline);
	}
	else
	{
		dev = freenect2.openDevice(serial);
	}
	if (dev == 0)
	{
		cout << "设备打开失败！" << endl;
		return -1;
	}
	signal(SIGINT, sigint_handler);
	protonect_shutdown = false;
	libfreenect2::SyncMultiFrameListener listener(
		libfreenect2::Frame::Color |
		libfreenect2::Frame::Depth |
		libfreenect2::Frame::Ir);
	libfreenect2::FrameMap frames;
	dev->setColorFrameListener(&listener);
	dev->setIrAndDepthFrameListener(&listener);

	//启动数据传输
	dev->start();

	std::cout << "device serial: " << dev->getSerialNumber() << std::endl;
	std::cout << "device firmware: " << dev->getFirmwareVersion() << std::endl;
	//循环接收
	libfreenect2::Registration* registration = new libfreenect2::Registration(dev->getIrCameraParams(), dev->getColorCameraParams());
	libfreenect2::Frame undistorted(512, 424, 4), registered(512, 424, 4), depth2rgb(1920, 1080 + 2, 4);

	Mat rgbmat, depthmat, depthmatUndistorted, irmat, rgbd, rgbd2, dst;
	float x, y, z, color;
	
	//cv::namedWindow("rgb", WND_PROP_ASPECT_RATIO);
	//cv::namedWindow("ir", WND_PROP_ASPECT_RATIO);
	//cv::namedWindow("depth", WND_PROP_ASPECT_RATIO);
	//cv::namedWindow("undistorted", WND_PROP_ASPECT_RATIO);
	//cv::namedWindow("registered", WND_PROP_ASPECT_RATIO);
	//cv::namedWindow("depth2RGB", WND_PROP_ASPECT_RATIO);

	listener.waitForNewFrame(frames);
	libfreenect2::Frame *rgb = frames[libfreenect2::Frame::Color];
	libfreenect2::Frame *ir = frames[libfreenect2::Frame::Ir];
	libfreenect2::Frame *depth = frames[libfreenect2::Frame::Depth];
	registration->apply(rgb, depth, &undistorted, ®istered, true, &depth2rgb);
	PointCloud::Ptr cloud(new PointCloud); //使用智能指针，创建一个空点云。这种指针用完会自动释放。
	cloud->width = 512 * 424;
	cloud->height = 1;
	cloud->is_dense = true;
	
	cv::Mat(rgb->height, rgb->width, CV_8UC4, rgb->data).copyTo(rgbmat);
	cv::Mat(ir->height, ir->width, CV_32FC1, ir->data).copyTo(irmat);
	cv::Mat(depth->height, depth->width, CV_32FC1, depth->data).copyTo(depthmat);
	cv::Mat(undistorted.height, undistorted.width, CV_32FC1, undistorted.data).copyTo(depthmatUndistorted);
	cv::Mat(registered.height, registered.width, CV_8UC4, registered.data).copyTo(rgbd);
	cv::Mat(depth2rgb.height, depth2rgb.width, CV_32FC1, depth2rgb.data).copyTo(rgbd2);

	//cv::imshow("rgb", rgbmat);
	//cv::imshow("ir", irmat / 4500.0f);
	//cv::imshow("depth", depthmat / 4500.0f);
	//cv::imshow("undistorted", depthmatUndistorted / 4500.0f);
	//cv::imshow("registered", rgbd);
	//cv::imshow("depth2RGB", rgbd2 / 4500.0f);

	//ir：红外图
	//depth：深度图
	//rgb：彩色图
	//depth2RGB：深度图转换为RGB
	//registered：彩色图注入深度图
	//undistorted：深度图（无失真）

	cv::imwrite("rgb.jpg", rgbmat);
	cv::imwrite("ir.jpg", irmat);
	cv::imwrite("depth.jpg", depthmat);
	cv::imwrite("undistorted.jpg", depthmatUndistorted);
	cv::imwrite("registered.jpg", rgbd);
	cv::imwrite("depth2RGB.jpg", rgbd2);

	for (int m = 0; m < 512; m++)
	{
		for (int n = 0; n < 424; n++)
		{
			PointT p;
			registration->getPointXYZRGB(&undistorted, ®istered, n, m, x, y, z, color);
			const uint8_t *c = reinterpret_cast(&color);
			uint8_t b = c[0];
			uint8_t g = c[1];
			uint8_t r = c[2];
			if (z < 1.2 && y < 0.2)  //暂时先通过限定xyz来除去不需要的点，点云分割还在学习中。。。
			{
				p.z = -z;
				p.x = x;
				p.y = -y;
				p.b = b;
				p.g = g;
				p.r = r;
			}
			cloud->points.push_back(p);
		}
	}
	cloud->points.resize(cloud->width * cloud->height);
	pcl::visualization::CloudViewer viewer("Viewer");
	viewer.showCloud(cloud);
	
	pcl::io::savePCDFile("PointCloud.pcd",*cloud);
	int key = cv::waitKey(1);
	protonect_shutdown = protonect_shutdown || (key > 0 && ((key & 0xFF) == 27)); // shutdown on escape
	listener.release(frames);

	//关闭设备
	dev->stop();
	dev->close();

	delete registration;



#endif

}