#include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include using namespace cv; using namespace std; 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; } 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 ); rgb = Scalar::all(0); if( maxDisp < 1 ) return; 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); } } } float getMaxDisparity( VideoCapture& capture ) { const int minDistance = 400; // mm float b = (float)capture.get( CV_CAP_OPENNI_DEPTH_GENERATOR_BASELINE ); // mm float F = (float)capture.get( CV_CAP_OPENNI_DEPTH_GENERATOR_FOCAL_LENGTH ); // pixels return b * F / minDistance; } void printCommandLineParams() { cout << "-cd Colorized disparity? (0 or 1; 1 by default) Ignored if disparity map is not selected to show." << endl; cout << "-fmd Fixed max disparity? (0 or 1; 0 by default) Ignored if disparity map is not colorized (-cd 0)." << endl; cout << "-sxga SXGA resolution of image? (0 or 1; 0 by default) Ignored if rgb image or gray image are not selected to show." << endl; cout << " If -sxga is 0 then vga resolution will be set by default." << endl; cout << "-m Mask to set which output images are need. It is a string of size 5. Each element of this is '0' or '1' and" << endl; cout << " determine: is depth map, disparity map, valid pixels mask, rgb image, gray image need or not (correspondently)?" << endl ; cout << " By default -m 01010 i.e. disparity map and rgb image will be shown." << endl ; } void parseCommandLine( int argc, char* argv[], bool& isColorizeDisp, bool& isFixedMaxDisp, bool& isSetSXGA, bool retrievedImageFlags[] ) { // set defaut values isColorizeDisp = true; isFixedMaxDisp = false; isSetSXGA = false; retrievedImageFlags[0] = false; retrievedImageFlags[1] = true; retrievedImageFlags[2] = false; retrievedImageFlags[3] = true; retrievedImageFlags[4] = false; if( argc == 1 ) { help(); } else { for( int i = 1; i < argc; i++ ) { if( !strcmp( argv[i], "--help" ) || !strcmp( argv[i], "-h" ) ) { printCommandLineParams(); exit(0); } else if( !strcmp( argv[i], "-cd" ) ) { isColorizeDisp = atoi(argv[++i]) == 0 ? false : true; } else if( !strcmp( argv[i], "-fmd" ) ) { isFixedMaxDisp = atoi(argv[++i]) == 0 ? false : true; } else if( !strcmp( argv[i], "-sxga" ) ) { isSetSXGA = atoi(argv[++i]) == 0 ? false : true; } else if( !strcmp( argv[i], "-m" ) ) { string mask( argv[++i] ); if( mask.size() != 5) CV_Error( CV_StsBadArg, "Incorrect length of -m argument string" ); int val = atoi(mask.c_str()); int l = 100000, r = 10000, sum = 0; for( int i = 0; i < 5; i++ ) { retrievedImageFlags[i] = ((val % l) / r ) == 0 ? false : true; l /= 10; r /= 10; if( retrievedImageFlags[i] ) sum++; } if( sum == 0 ) { cout << "No one output image is selected." << endl; exit(0); } } else { cout << "Unsupported command line argument: " << argv[i] << "." << endl; exit(-1); } } } } /* * 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( int argc, char* argv[] ) { bool isColorizeDisp, isFixedMaxDisp, isSetSXGA; bool retrievedImageFlags[5]; parseCommandLine( argc, argv, isColorizeDisp, isFixedMaxDisp, isSetSXGA, retrievedImageFlags ); cout << "Kinect opening ..." << endl; VideoCapture capture( CV_CAP_OPENNI ); cout << "done." << endl; if( !capture.isOpened() ) { cout << "Can not open a capture object." << endl; return -1; } if( isSetSXGA ) capture.set( CV_CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CV_CAP_OPENNI_SXGA_15HZ ); else capture.set( CV_CAP_OPENNI_IMAGE_GENERATOR_OUTPUT_MODE, CV_CAP_OPENNI_VGA_30HZ ); // default // 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( CV_CAP_PROP_OPENNI_FRAME_MAX_DEPTH ) << " mm" << endl << "FPS " << capture.get( CV_CAP_PROP_FPS ) << endl; cout << "\nImage generator output mode:" << endl << "FRAME_WIDTH " << capture.get( CV_CAP_OPENNI_IMAGE_GENERATOR+CV_CAP_PROP_FRAME_WIDTH ) << endl << "FRAME_HEIGHT " << capture.get( CV_CAP_OPENNI_IMAGE_GENERATOR+CV_CAP_PROP_FRAME_HEIGHT ) << endl << "FPS " << capture.get( CV_CAP_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( retrievedImageFlags[0] && capture.retrieve( depthMap, CV_CAP_OPENNI_DEPTH_MAP ) ) { const float scaleFactor = 0.05f; Mat show; depthMap.convertTo( show, CV_8UC1, scaleFactor ); imshow( "depth map", show ); } if( retrievedImageFlags[1] && capture.retrieve( disparityMap, CV_CAP_OPENNI_DISPARITY_MAP ) ) { if( isColorizeDisp ) { Mat colorDisparityMap; colorizeDisparity( disparityMap, colorDisparityMap, isFixedMaxDisp ? getMaxDisparity(capture) : -1 ); Mat validColorDisparityMap; colorDisparityMap.copyTo( validColorDisparityMap, disparityMap != 0 ); imshow( "colorized disparity map", validColorDisparityMap ); } else { imshow( "original disparity map", disparityMap ); } } if( retrievedImageFlags[2] && capture.retrieve( validDepthMap, CV_CAP_OPENNI_VALID_DEPTH_MASK ) ) imshow( "valid depth mask", validDepthMap ); if( retrievedImageFlags[3] && capture.retrieve( bgrImage, CV_CAP_OPENNI_BGR_IMAGE ) ) imshow( "rgb image", bgrImage ); if( retrievedImageFlags[4] && capture.retrieve( grayImage, CV_CAP_OPENNI_GRAY_IMAGE ) ) imshow( "gray image", grayImage ); } if( waitKey( 30 ) >= 0 ) break; } return 0; }