我正在使用OpenCV 2.4.0中的内置OpenNI访问,我正在尝试测量深度图中两点之间的距离。到目前为止我试过这个:
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
using namespace cv;
using namespace std;
Point startPt(0,0);
Point endPt(0,0);
void onMouse( int event, int x, int y, int flags, void* )
{
if( event == CV_EVENT_LBUTTONUP) startPt = Point(x,y);
if( event == CV_EVENT_RBUTTONUP) endPt = Point(x,y);
}
int main( int argc, char* argv[] ){
VideoCapture capture;
capture.open(CV_CAP_OPENNI);
//capture.set( CV_CAP_PROP_OPENNI_REGISTRATION , 0);
unsigned t0=clock();
if( !capture.isOpened() ){
cout << "Can not open a capture object." << endl;
return -1;
}
unsigned elapsed=clock()-t0;
cout << "initialized in "<< elapsed <<" s. ready!" << endl;
namedWindow( "depth", 1 );
setMouseCallback( "depth", onMouse, 0 );
for(;;){
Mat depthMap;
if( !capture.grab() ){
cout << "Can not grab images." << endl;
return -1;
}else{
Mat show,real,valid;
if( capture.retrieve( depthMap, CV_CAP_OPENNI_DEPTH_MAP ) ){
depthMap.convertTo( show, CV_8UC1, 0.05f);
}
capture.retrieve(valid,CV_CAP_OPENNI_VALID_DEPTH_MASK);
if( capture.retrieve(real, CV_CAP_OPENNI_POINT_CLOUD_MAP)){
unsigned int sp = valid.at<unsigned char>(startPt.x, startPt.y);
unsigned int ep = valid.at<unsigned char>(endPt.x, endPt.y);
if(sp == 255 && ep == 255){
Vec3f s = real.at<Vec3f>(startPt.x, startPt.y);
Vec3f e = real.at<Vec3f>(endPt.x, endPt.y);
float dx = e[0]-s[0];
float dy = e[1]-s[1];
float dz = e[2]-s[2];
float dist = sqrt(dx*dx + dy*dy + dz*dz);
putText(show,format("distance: %f m\n",dist),Point(10,10),FONT_HERSHEY_PLAIN,1,Scalar(255));
}
}
circle(show,startPt,3,Scalar(255),3);
circle(show,endPt,3,Scalar(192),3);
line(show,startPt,endPt,Scalar(128));
imshow("depth",show);
}
if( waitKey( 30 ) >= 0 ) break;
}
}
但我有几个问题:
我是否使用正确的方法来检索xyz值并计算距离?
我可能遗失的任何细节?
答案 0 :(得分:4)
我运行了代码,但即使我注释掉if(sp == 255 && ep == 255)
,也无法让它崩溃。经常发生吗?我没有使用OpenNI驱动程序,但在Microsoft驱动程序中,例如也存在无效值(例如表面是镜面反射时)。 “太近”或“太远”也有不同的值。可能是OpenNI在这样的情况下返回垃圾吗?
尝试切换x和y:
Vec3f s = real.at<Vec3f>(startPt.y, startPt.x);
Vec3f e = real.at<Vec3f>(endPt.y, endPt.x);
(因此:)
unsigned int sp = valid.at<unsigned char>(startPt.y, startPt.x);
unsigned int ep = valid.at<unsigned char>(endPt.y, endPt.x);
语法为cv::Mat::at<_Tp>(int y, int x)
或者它是否有助于您更好cv::Mat::at<_Tp>(int row, int column)
我测量了一些距离,它对我来说很好。
另外,你实际上计算了你得到的每一帧的3D点数和距离,这是故意的吗?因为即使您在图像中选择了两个2D点,用于计算距离的相应3D点也可能因噪声而在每帧中发生变化。