Open Source Computer Vision Library https://opencv.org/
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#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
using namespace cv;
using namespace std;
void colorizeDisparity( const Mat& gray, Mat& rgb, float S=1.f, float V=1.f )
{
CV_Assert( !gray.empty() );
CV_Assert( gray.type() == CV_8UC1 );
// TODO do maxDisp constant (when camera properties will be accessible)
double maxDisp = 0;
minMaxLoc( gray, 0, &maxDisp );
rgb.create( gray.size(), CV_8UC3 );
for( int y = 0; y < gray.rows; y++ )
{
for( int x = 0; x < gray.cols; x++ )
{
uchar d = gray.at<uchar>(y,x);
unsigned int H = ((uchar)maxDisp - d) * 240 / (uchar)maxDisp;
unsigned int hi = (H/60) % 6;
float f = H/60.f - H/60;
float p = V * (1 - S);
float q = V * (1 - f * S);
float t = V * (1 - (1 - f) * S);
Point3f res;
if( hi == 0 ) //R = V, G = t, B = p
res = Point3f( p, t, V );
if( hi == 1 ) // R = q, G = V, B = p
res = Point3f( p, V, q );
if( hi == 2 ) // R = p, G = V, B = t
res = Point3f( t, V, p );
if( hi == 3 ) // R = p, G = q, B = V
res = Point3f( V, q, p );
if( hi == 4 ) // R = t, G = p, B = V
res = Point3f( V, p, t );
if( hi == 5 ) // R = V, G = p, B = q
res = Point3f( q, p, V );
uchar b = (uchar)(std::max(0.f, std::min (res.x, 1.f)) * 255.f);
uchar g = (uchar)(std::max(0.f, std::min (res.y, 1.f)) * 255.f);
uchar r = (uchar)(std::max(0.f, std::min (res.z, 1.f)) * 255.f);
rgb.at<Point3_<uchar> >(y,x) = Point3_<uchar>(b, g, r);
}
}
}
void help()
{
cout << "\nThis program demonstrates usage of Kinect sensor.\n"
"The user gets some of the supported output images.\n"
"\nAll supported output map types:\n"
"1.) Data given from depth generator\n"
" OPENNI_DEPTH_MAP - depth values in mm (CV_16UC1)\n"
" OPENNI_POINT_CLOUD_MAP - XYZ in meters (CV_32FC3)\n"
" OPENNI_DISPARITY_MAP - disparity in pixels (CV_8UC1)\n"
" OPENNI_DISPARITY_MAP_32F - disparity in pixels (CV_32FC1)\n"
" OPENNI_VALID_DEPTH_MASK - mask of valid pixels (not ocluded, not shaded etc.) (CV_8UC1)\n"
"2.) Data given from RGB image generator\n"
" OPENNI_BGR_IMAGE - color image (CV_8UC3)\n"
" OPENNI_GRAY_IMAGE - gray image (CV_8UC1)\n"
<< endl;
}
/*
* To work with Kinect the user must install OpenNI library and PrimeSensorModule for OpenNI and
* configure OpenCV with WITH_OPENNI flag is ON (using CMake).
*/
int main()
{
help();
cout << "Kinect opening ..." << endl;
VideoCapture capture(0); // or CV_CAP_OPENNI
cout << "done." << endl;
if( !capture.isOpened() )
{
cout << "Can not open a capture object." << endl;
return -1;
}
for(;;)
{
Mat depthMap;
Mat validDepthMap;
Mat disparityMap;
Mat bgrImage;
Mat grayImage;
if( !capture.grab() )
{
cout << "Can not grab images." << endl;
return -1;
}
else
{
if( capture.retrieve( depthMap, OPENNI_DEPTH_MAP ) )
{
const float scaleFactor = 0.05f;
Mat show; depthMap.convertTo( show, CV_8UC1, scaleFactor );
imshow( "depth map", show );
}
if( capture.retrieve( disparityMap, OPENNI_DISPARITY_MAP ) )
{
#if 0 // original disparity
imshow( "original disparity map", disparityMap );
#else // colorized disparity for more visibility
Mat colorDisparityMap;
colorizeDisparity( disparityMap, colorDisparityMap );
Mat validColorDisparityMap;
colorDisparityMap.copyTo( validColorDisparityMap, disparityMap != OPENNI_BAD_DISP_VAL );
imshow( "colorized disparity map", validColorDisparityMap );
#endif
}
if( capture.retrieve( validDepthMap, OPENNI_VALID_DEPTH_MASK ) )
imshow( "valid depth map", validDepthMap );
if( capture.retrieve( bgrImage, OPENNI_BGR_IMAGE ) )
imshow( "rgb image", bgrImage );
if( capture.retrieve( grayImage, OPENNI_GRAY_IMAGE ) )
imshow( "gray image", grayImage );
}
if( waitKey( 30 ) >= 0 )
break;
}
return 0;
}