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C++ CFeatureExtraction::detectFeatures方法代码示例

本文整理汇总了C++中CFeatureExtraction::detectFeatures方法的典型用法代码示例。如果您正苦于以下问题：C++ CFeatureExtraction::detectFeatures方法的具体用法？C++ CFeatureExtraction::detectFeatures怎么用？C++ CFeatureExtraction::detectFeatures使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类CFeatureExtraction的用法示例。


在下文中一共展示了CFeatureExtraction::detectFeatures方法的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。

示例1: TestExtractMatchProjectAndPaint

// ------------------------------------------------------
//				TestCapture
// ------------------------------------------------------
void TestExtractMatchProjectAndPaint()
{
	CDisplayWindow3D	wind;
	CFeatureExtraction	fExt;
	CFeatureList		featsHarris_L, featsHarris_R;
	CMatchedFeatureList	mHarris, mSIFT, mSURF;
	CImage				imL, imR;

	string imgL = MRPT_EXAMPLES_BASE_DIRECTORY + string("feature_extraction/") + string("imgs/imL_p01.jpg");		// Left image
	string imgR = MRPT_EXAMPLES_BASE_DIRECTORY + string("feature_extraction/") + string("imgs/imR_p01.jpg");		// Right image

	// Load and check images
	if (!imL.loadFromFile( imgL ))
	{
		cerr << "Cannot load " << imgL  << endl;
		return;
	}
	cout << "Loaded test image: " << imgL << endl;

	if (!imR.loadFromFile( imgR ))
	{
		cerr << "Cannot load " << imgR  << endl;
		return;
	}
	cout << "Loaded test image: " << imgR << endl;

	cout << "***************************************************" << endl;
	cout << "***************************************************" << endl;

	// Extract features:
	// HARRIS
	cout << "Detecting HARRIS features in LEFT image" << endl;
	fExt.options.featsType = featKLT;
	fExt.detectFeatures( imL, featsHarris_L );
	cout << "Detected " << featsHarris_L.size() << endl;

	cout << "Detecting HARRIS features in RIGHT image" << endl;
	fExt.detectFeatures( imR, featsHarris_R );
	cout << "Detected " << featsHarris_R.size() << endl;

	cout << "***************************************************" << endl;
	cout << "***************************************************" << endl;

	// Match features:
	//size_t nMatches;
	TMatchingOptions opt;

	// HARRIS
	cout << "Matching HARRIS features by CORRELATION" << endl;
	//nMatches =
	matchFeatures( featsHarris_L, featsHarris_R, mHarris );
	cout << "Matches found: " << mHarris.size() << endl;

	cout << "***************************************************" << endl;

} // end TestExtractMatchProjectAndPaint
开发者ID:3660628，项目名称:mrpt，代码行数:59，代码来源:test.cpp

示例2: TestExtractFeaturesTile

// ------------------------------------------------------
//				TestCapture
// ------------------------------------------------------
void TestExtractFeaturesTile()
{
	CDisplayWindow		wind1,wind2;
	CFeatureExtraction	fExt;
	CFeatureList		featsHarris;
	CImage				img;

	string the_img = myDataDir+string("test_image.jpg");

	if (!img.loadFromFile(the_img ))
	{
		cerr << "Cannot load " << the_img  << endl;
		return;
	}
	cout << "Loaded test image: " << the_img << endl;

	CTicTac	tictac;

	cout << "Extracting Harris features (tiled)... [f_harris_tiled.txt]";

	fExt.options.featsType = featHarris;
	fExt.options.harrisOptions.tile_image = true;

	tictac.Tic();
	fExt.detectFeatures( img, featsHarris );
	cout << format("  %.03fms",tictac.Tac()*1000) << endl;

	cout << "Detected " << featsHarris.size() << " features in " << endl;
	featsHarris.saveToTextFile("f_harris_tiled.txt");
	wind1.setWindowTitle("Harris detected features (Tiled image)");
	wind1.showTiledImageAndPoints( img, featsHarris );

	cout << "Extracting Harris features... [f_harris.txt]";

	fExt.options.harrisOptions.tile_image = false;

	tictac.Tic();
	fExt.detectFeatures( img, featsHarris );
	cout << format("  %.03fms",tictac.Tac()*1000) << endl;

	featsHarris.saveToTextFile("f_harris.txt");
	wind2.setWindowTitle("Harris detected features");
	wind2.showTiledImageAndPoints( img, featsHarris );

	mrpt::system::pause();

	return;
}
开发者ID:3660628，项目名称:mrpt，代码行数:51，代码来源:test.cpp

示例3: feature_matching_test_Harris_SAD

// ------------------------------------------------------
//				Benchmark: Harris + SAD
// ------------------------------------------------------
double feature_matching_test_Harris_SAD( int w, int h )
{
	CTicTac	 tictac;

	CImage  imL, imR;
	CFeatureExtraction	fExt;
	CFeatureList		featsHarris_L, featsHarris_R;
	CMatchedFeatureList	mHarris;

	getTestImage(0,imR);
	getTestImage(1,imL);

	// Extract features: HARRIS
	fExt.options.featsType = featHarris;

	TMatchingOptions	opt;
	const size_t		N = 20;
	opt.matching_method = TMatchingOptions::mmSAD;

	// HARRIS
	tictac.Tic();
	for (size_t i=0;i<N;i++)
	{
		fExt.detectFeatures( imL, featsHarris_L, 0, NFEATS );
		fExt.detectFeatures( imR, featsHarris_R, 0, NFEATS );
		//nMatches =
		matchFeatures( featsHarris_L, featsHarris_R, mHarris, opt );
	}
	const double T = tictac.Tac()/N;

//	cout << endl << "L: " << featsHarris_L.size() << " R: " << featsHarris_R.size() << " M: " << mHarris.size() << endl;

	return T;
}
开发者ID:GYengera，项目名称:mrpt，代码行数:37，代码来源:perf-feature_matching.cpp

示例4: feature_matching_test_FAST_CC

// ------------------------------------------------------
//				Benchmark: Harris + SAD
// ------------------------------------------------------
double feature_matching_test_FAST_CC( int w, int h )
{
	CTicTac	 tictac;

	CImage  imL, imR;
	CFeatureExtraction	fExt;
	CFeatureList		featsFAST_L, featsFAST_R;
	CMatchedFeatureList	mFAST;

	getTestImage(0,imR);
	getTestImage(1,imL);

	// Extract features: HARRIS
	fExt.options.featsType = featFAST;

	//size_t				nMatches;
	TMatchingOptions	opt;
	const size_t		N = 20;

	// HARRIS
	tictac.Tic();
	for (size_t i=0;i<N;i++)
	{
		fExt.detectFeatures( imL, featsFAST_L, 0, NFEATS );
		fExt.detectFeatures( imR, featsFAST_R, 0, NFEATS );
		//nMatches =
		matchFeatures( featsFAST_L, featsFAST_R, mFAST, opt );
	}
	const double T = tictac.Tac()/N;

//	cout << endl << "L: " << featsFAST_L.size() << " R: " << featsFAST_R.size() << " M: " << mFAST.size() << endl;

	return T;
}
开发者ID:GYengera，项目名称:mrpt，代码行数:37，代码来源:perf-feature_matching.cpp

示例5: benchmark_detectFeatures

double benchmark_detectFeatures(int N, [[maybe_unused]] int h)
{
	// Generate a random image
	CImage img;
	getTestImage(0, img);
	CFeatureExtraction fExt;
	fExt.profiler.enable();
	fExt.options.featsType = FEAT_TYPE;
	for (int i = 0; i < N; i++)
	{
		CFeatureList fs;
		fExt.detectFeatures(img, fs);
		if (i == (N - 1))
			std::cout << "(" << std::setw(4) << fs.size() << " found)\n";
	}
	return fExt.profiler.getMeanTime("detectFeatures");
}
开发者ID:MRPT，项目名称:mrpt，代码行数:17，代码来源:perf-feature_extraction.cpp

示例6: benchmark_computeDescriptor

double benchmark_computeDescriptor(int N, int num_feats)
{
	CImage img;
	getTestImage(0, img);

	CFeatureExtraction fExt;
	fExt.profiler.enable();
	fExt.options.featsType = featFASTER9;

	for (int i = 0; i < N; i++)
	{
		CFeatureList fs;
		fExt.detectFeatures(img, fs, 0 /*id*/, num_feats);
		fExt.computeDescriptors(img, fs, DESCRIPTOR_TYPE);
	}

	return fExt.profiler.getMeanTime("computeDescriptors");
}
开发者ID:MRPT，项目名称:mrpt，代码行数:18，代码来源:perf-feature_extraction.cpp

示例7: feature_extraction_test_Harris

// ------------------------------------------------------
//				Benchmark: Harris
// ------------------------------------------------------
double feature_extraction_test_Harris( int N, int h )
{
	CTicTac	 tictac;

	// Generate a random image
	CImage  img;
	getTestImage(0,img);

	CFeatureExtraction	fExt;
	CFeatureList		featsHarris;

	fExt.options.featsType = featHarris;
	tictac.Tic();
	for (int i=0;i<N;i++)
		fExt.detectFeatures( img, featsHarris );

	const double T = tictac.Tac()/N;

//	cout << "Harris: " << featsHarris.size();

	return T;
}
开发者ID:3660628，项目名称:mrpt，代码行数:25，代码来源:perf-feature_extraction.cpp

示例8: benchmark_detectFeatures_FASTER

double benchmark_detectFeatures_FASTER(int N, int threshold)
{
	CTicTac tictac;

	// Generate a random image
	CImage img;
	getTestImage(0, img);

	CFeatureExtraction fExt;
	CFeatureList feats;

	fExt.options.featsType = TYP;
	fExt.options.FASTOptions.threshold = threshold;
	fExt.options.patchSize = 0;

	img = img.grayscale();

	tictac.Tic();
	for (int i = 0; i < N; i++) fExt.detectFeatures(img, feats, 0, MAX_N_FEATS);

	const double T = tictac.Tac() / N;
	return T;
}
开发者ID:MRPT，项目名称:mrpt，代码行数:23，代码来源:perf-feature_extraction.cpp

示例9: TestTrackFeatures

void TestTrackFeatures()
{

	CImage im1, im2;
	im1.loadFromFile("/Trabajo/Experimentos/[2009] vOdometry Characterization/right1.jpg");
	im2.loadFromFile("/Trabajo/Experimentos/[2009] vOdometry Characterization/right2.jpg");

	CFeatureExtraction	fExt;
	CFeatureList		feats;

	fExt.options.featsType = featKLT;
	fExt.detectFeatures( im1, feats );
	feats.saveToTextFile("J:/Trabajo/Experimentos/[2009] vOdometry Characterization/before.txt");

	CFeatureTracker_KL	tracker;
	// tracker.extra_params["add_new_features"]  = 1;   // track, AND ALSO, add new features
	// ...

	// Do tracking:
	tracker.trackFeatures(im1, im2, feats);

	feats.saveToTextFile("/Trabajo/Experimentos/[2009] vOdometry Characterization/after.txt");
}
开发者ID:3660628，项目名称:mrpt，代码行数:23，代码来源:test.cpp

示例10: feature_extraction_test_KLT

// ------------------------------------------------------
//				Benchmark: KLT
// ------------------------------------------------------
double feature_extraction_test_KLT( int N, int h )
{
	CTicTac	 tictac;

	// Generate a random image
	CImage  img;
	getTestImage(0,img);

	CFeatureExtraction	fExt;
	CFeatureList		featsKLT;

	fExt.options.featsType				= featKLT;
	fExt.options.KLTOptions.threshold	= 0.05f;
	fExt.options.KLTOptions.radius		= 5;

	tictac.Tic();
	for (int i=0;i<N;i++)
		fExt.detectFeatures( img, featsKLT );

	const double T = tictac.Tac()/N;
//	cout << "SPIN: " << featsKLT.size();
	return T;
}
开发者ID:3660628，项目名称:mrpt，代码行数:26，代码来源:perf-feature_extraction.cpp

示例11: feature_extraction_test_SIFT

// ------------------------------------------------------
//				Benchmark: SIFT (hess)
// ------------------------------------------------------
double feature_extraction_test_SIFT( int N, int h )
{
	CTicTac	 tictac;

	// Generate a random image
	CImage  img;
	getTestImage(0,img);

	CFeatureExtraction	fExt;
	CFeatureList		featsSIFT;

	fExt.options.featsType	= featSIFT;
	fExt.options.SIFTOptions.implementation = CFeatureExtraction::Hess;

	tictac.Tic();
	for (int i=0;i<N;i++)
		fExt.detectFeatures( img, featsSIFT );

	const double T = tictac.Tac()/N;

//	cout << "SIFT: " << featsSIFT.size();

	return T;
}
开发者ID:3660628，项目名称:mrpt，代码行数:27，代码来源:perf-feature_extraction.cpp

示例12: feature_matching_test_SURF

// ------------------------------------------------------
//				Benchmark: Harris + SAD
// ------------------------------------------------------
double feature_matching_test_SURF(int w, int h)
{
	CTicTac tictac;

	CImage imL, imR;
	CFeatureExtraction fExt;
	CFeatureList featsSURF_L, featsSURF_R;
	CMatchedFeatureList mSURF;

	getTestImage(0, imR);
	getTestImage(1, imL);

	// Extract features: HARRIS
	fExt.options.featsType = featSURF;

	// size_t				nMatches;
	TMatchingOptions opt;
	const size_t N = 10;
	opt.matching_method = TMatchingOptions::mmDescriptorSURF;

	// HARRIS
	tictac.Tic();
	for (size_t i = 0; i < N; i++)
	{
		fExt.detectFeatures(imL, featsSURF_L, 0, NFEATS);
		fExt.detectFeatures(imR, featsSURF_R, 0, NFEATS);
		// nMatches =
		matchFeatures(featsSURF_L, featsSURF_R, mSURF, opt);
	}
	const double T = tictac.Tac() / N;

	//	cout << endl << "L: " << featsSURF_L.size() << " R: " <<
	// featsSURF_R.size() << " M: " << mSURF.size() << endl;

	return T;
}
开发者ID:jiapei100，项目名称:mrpt，代码行数:39，代码来源:perf-feature_matching.cpp

示例13: feature_extraction_test_FASTER

double feature_extraction_test_FASTER( int N, int threshold )
{
	CTicTac			tictac;

	// Generate a random image
	CImage  img;
	getTestImage(0,img);

	CFeatureExtraction		fExt;
	CFeatureList			feats;

	fExt.options.featsType	= TYP; // FASTER_N==9 ? featFASTER9 : (FASTER_N==10 ? featFASTER10 : featFASTER12 );
	fExt.options.FASTOptions.threshold = threshold; //20;
	fExt.options.patchSize = 0;

	img.grayscaleInPlace();

	tictac.Tic();
	for (int i=0;i<N;i++)
		fExt.detectFeatures( img, feats,0, MAX_N_FEATS );

	const double T = tictac.Tac()/N;
	return T;
}
开发者ID:3660628，项目名称:mrpt，代码行数:24，代码来源:perf-feature_extraction.cpp

示例14: feature_extraction_test_Spin_desc

// ------------------------------------------------------
//				Benchmark: Spin descriptor
// ------------------------------------------------------
double feature_extraction_test_Spin_desc( int N, int h )
{
	CTicTac	 tictac;

	// Generate a random image
	CImage  img;
	getTestImage(0,img);

	CFeatureExtraction	fExt;
	CFeatureList		featsHarris;

	fExt.options.SpinImagesOptions.radius				= 13;
	fExt.options.SpinImagesOptions.hist_size_distance	= 10;
	fExt.options.SpinImagesOptions.hist_size_intensity	= 10;

	fExt.detectFeatures( img, featsHarris );

	tictac.Tic();
	for (int i=0;i<N;i++)
		fExt.computeDescriptors( img, featsHarris, descSpinImages );

	const double T = tictac.Tac()/N;
	return T;
}
开发者ID:3660628，项目名称:mrpt，代码行数:27，代码来源:perf-feature_extraction.cpp

示例15: feature_extraction_test_FAST

// ------------------------------------------------------
//				Benchmark: FAST
// ------------------------------------------------------
double feature_extraction_test_FAST( int N, int h )
{
	CTicTac			tictac;

	// Generate a random image
	CImage  img;
	getTestImage(0,img);

	CFeatureExtraction		fExt;
	CFeatureList			featsFAST;

	fExt.options.featsType	= featFAST;
	fExt.options.FASTOptions.threshold = 20;
	fExt.options.patchSize = 0;

	img.grayscaleInPlace();

	tictac.Tic();
	for (int i=0;i<N;i++)
		fExt.detectFeatures( img, featsFAST );

	const double T = tictac.Tac()/N;
	return T;
}
开发者ID:3660628，项目名称:mrpt，代码行数:27，代码来源:perf-feature_extraction.cpp


注：本文中的CFeatureExtraction::detectFeatures方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。