#include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include using namespace cv; using namespace std; #define COLORIZED_DISP 1 #define IMAGE_GENERATOR_VGA_30HZ 1 #define FIXED_MAX_DISP 0 void colorizeDisparity( const Mat& gray, Mat& rgb, double maxDisp=-1.f, float S=1.f, float V=1.f ) { CV_Assert( !gray.empty() ); CV_Assert( gray.type() == CV_8UC1 ); if( maxDisp <= 0 ) { 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(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 >(y,x) = Point3_(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; } float getMaxDisparity( VideoCapture& capture ) { #if FIXED_MAX_DISP const int minDistance = 400; // mm float b = capture.get( OPENNI_DEPTH_GENERATOR_BASELINE ); // mm float F = capture.get( OPENNI_DEPTH_GENERATOR_FOCAL_LENGTH ); // pixels return b * F / minDistance; #else return -1; #endif } /* * 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; } #if IMAGE_GENERATOR_VGA_30HZ capture.set( OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, OPENNI_VGA_30HZ ); // default #else capture.set( OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, OPENNI_SXGA_15HZ ); #endif // Print some avalible Kinect settings. cout << "\nDepth generator output mode:" << endl << "FRAME_WIDTH " << capture.get( CV_CAP_PROP_FRAME_WIDTH ) << endl << "FRAME_HEIGHT " << capture.get( CV_CAP_PROP_FRAME_HEIGHT ) << endl << "FRAME_MAX_DEPTH " << capture.get( OPENNI_FRAME_MAX_DEPTH ) << " mm" << endl << "FPS " << capture.get( CV_CAP_PROP_FPS ) << endl; cout << "\nImage generator output mode:" << endl << "FRAME_WIDTH " << capture.get( OPENNI_IMAGE_GENERATOR+CV_CAP_PROP_FRAME_WIDTH ) << endl << "FRAME_HEIGHT " << capture.get( OPENNI_IMAGE_GENERATOR+CV_CAP_PROP_FRAME_HEIGHT ) << endl << "FPS " << capture.get( OPENNI_IMAGE_GENERATOR+CV_CAP_PROP_FPS ) << endl; 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 COLORIZED_DISP // colorized disparity for more visibility Mat colorDisparityMap; colorizeDisparity( disparityMap, colorDisparityMap, getMaxDisparity( capture ) ); Mat validColorDisparityMap; colorDisparityMap.copyTo( validColorDisparityMap, disparityMap != OPENNI_BAD_DISP_VAL ); imshow( "colorized disparity map", validColorDisparityMap ); #else // original disparity imshow( "original disparity map", disparityMap ); #endif } if( capture.retrieve( validDepthMap, OPENNI_VALID_DEPTH_MASK ) ) imshow( "valid depth mask", 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; }