// YeNITE2SimpleUsingOpenCV_Skeleton.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"
#include <iostream>// 载入NiTE.h头文件
#include <NiTE.h>// using namespace
using namespace std;int main( int argc, char** argv )
{// 初始化NITE
    nite::NiTE::initialize();// 创建User跟踪器
    nite::UserTracker mUserTracker;mUserTracker.create();nite::UserTrackerFrameRef mUserFrame;for( int i = 0; i < 1000; ++ i ){// 读取User Frame信息mUserTracker.readFrame( &mUserFrame );// 从User Frame信息中获取User信息const nite::Array<nite::UserData>& aUsers = mUserFrame.getUsers();// Frame中User的个数for( int i = 0; i < aUsers.getSize(); ++ i ){const nite::UserData& rUser = aUsers[i];// 当有User用户出现在Kinect面前，则判断并显示if( rUser.isNew() ){cout << "New User [" << rUser.getId() << "] found." << endl;// 开始人体骨骼跟踪
                mUserTracker.startSkeletonTracking( rUser.getId() );}// 获取骨骼坐标const nite::Skeleton& rSkeleton = rUser.getSkeleton();if( rSkeleton.getState() == nite::SKELETON_TRACKED ){// 得到右手坐标const nite::SkeletonJoint& righthand= rSkeleton.getJoint( nite::JOINT_RIGHT_HAND );const nite::Point3f& position = righthand.getPosition();cout << "右手坐标： " << position.x << "/" << position.y << "/" << position.z << endl;}}}// 释放
    mUserFrame.release();      // 关闭跟踪器
    mUserTracker.destroy();// 关闭NITE环境
    nite::NiTE::shutdown();return 0;
}

// YeNite2SimpleUsingOpenCV.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"
#include <iostream>// 载入NiTE.h头文件
#include <NiTE.h>// 载入OpenCV头文件
#include "opencv2/opencv.hpp"
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>using namespace std;
using namespace cv;int main( int argc, char** argv )
{// 初始化NITE
    nite::NiTE::initialize();// 创建User跟踪器nite::UserTracker* mUserTracker = new nite::UserTracker;mUserTracker->create();// 创建OpenCV图像窗口namedWindow( "Skeleton Image",  CV_WINDOW_AUTOSIZE );// 循环读取数据流信息并保存在HandFrameRef中
    nite::UserTrackerFrameRef mUserFrame;while( true ){// 读取Frame信息nite::Status rc = mUserTracker->readFrame(&mUserFrame);if (rc != nite::STATUS_OK){cout << "GetNextData failed" << endl;return 0;}// 将深度数据转换成OpenCV格式const cv::Mat mHandDepth( mUserFrame.getDepthFrame().getHeight(), mUserFrame.getDepthFrame().getWidth(), CV_16UC1, (void*)mUserFrame.getDepthFrame().getData());// 为了让深度图像显示的更加明显一些，将CV_16UC1 ==> CV_8U格式
        cv::Mat mScaledHandDepth, thresholdDepth;mHandDepth.convertTo( mScaledHandDepth, CV_8U, 255.0 / 10000 );// 二值化处理，为了显示效果明显cv::threshold(mScaledHandDepth, thresholdDepth, 50, 255, 0);// 从User Frame信息中获取User信息const nite::Array<nite::UserData>& aUsers = mUserFrame.getUsers();// Frame中User的个数for( int i = 0; i < aUsers.getSize(); ++ i ){const nite::UserData& rUser = aUsers[i];// 当有User用户出现在Kinect面前，则判断并显示if( rUser.isNew() ){cout << "New User [" << rUser.getId() << "] found." << endl;// 开始人体骨骼跟踪mUserTracker->startSkeletonTracking( rUser.getId() );}// 获取骨骼坐标const nite::Skeleton& rSkeleton = rUser.getSkeleton();if( rSkeleton.getState() == nite::SKELETON_TRACKED ){// 只得到前8个骨骼点坐标for(int i = 0; i < 8; i++){// 得到骨骼坐标const nite::SkeletonJoint& skeletonJoint= rSkeleton.getJoint((nite::JointType)i);const nite::Point3f& position = skeletonJoint.getPosition();float depth_x, depth_y;// 将骨骼点坐标映射到深度坐标中mUserTracker->convertJointCoordinatesToDepth(position.x, position.y, position.z, &depth_x, &depth_y);cv::Point point((int)depth_x, (int)depth_y);// 将获取的深度图像中相对应的坐标点重新赋值为255.即在深度图像中显示出各个骨骼点。thresholdDepth.at<uchar>(point) = 255;}// 显示图像cv::imshow( "Skeleton Image", thresholdDepth );}}// 终止快捷键if( cv::waitKey(1) == 'q')break;}// 关闭Frame
    mUserFrame.release();// 关闭跟踪器mUserTracker->destroy();// 关闭NITE环境
    nite::NiTE::shutdown();return 0;
}