Merge remote-tracking branch 'origin/2.4'

Original pull requests:
	#996 from jet47:gpu-nvcuvid-libraries
	#995 from jet47:fix-bug-2985
	#999 from snosov1:unreliable-results-fix
	#1005 from alekcac:doc_fix
	#1004 from jet47:fix-bug-3068
	#987 from jet47:bug-3085-fix
	#969 from pengx17:2.4_binary_cache
	#929 from dominikrose:mingw-libdc1394-2-windows
	#1000 from ivan-korolev:fix_sift_bug_2892
	#1001 from ivan-korolev:fix_stitching_bug_2405
	#998 from asmorkalov:android_cmake_mips_fix
	#993 from ivan-korolev:fix_videostab_bug_3023
	#988 from snosov1:3071-fix
	#986 from pengx17:2.4_initiated_context
	#982 from pengx17:2.4_fix_two_bugs
	#981 from SeninAndrew:ximea_camera_support_fix
	#991 from asmorkalov:android_javadoc_fix
	#972 from jet47:mog2-params-bug-2168
	#980 from SpecLad:include-config
	#973 from pengx17:2.4_oclclahe
	#903 from aks2:2.4
	#968 from asmorkalov:android_na_cproj_fix
	#971 from SpecLad:matchers-ctor
	#970 from asmorkalov:dshow_valid_check_fix
	#965 from apavlenko:fix_java_empty_mats

Conflicts:
	cmake/OpenCVModule.cmake
	modules/core/src/matmul.cpp
	modules/gpu/CMakeLists.txt
	modules/ocl/include/opencv2/ocl/ocl.hpp
	modules/ocl/perf/perf_imgproc.cpp
	modules/ocl/src/imgproc.cpp
	modules/ocl/src/initialization.cpp
	modules/stitching/src/matchers.cpp
	modules/video/src/video_init.cpp
	modules/videostab/src/global_motion.cpp
This commit is contained in:
Roman Donchenko
2013-06-17 16:57:31 +04:00
52 changed files with 1405 additions and 378 deletions

View File

@@ -2850,9 +2850,9 @@ PCA& PCA::operator()(InputArray _data, InputArray __mean, int flags, int maxComp
if( _mean.data )
{
CV_Assert( _mean.size() == mean_sz );
CV_Assert( _mean.size() == mean_sz );
_mean.convertTo(mean, ctype);
covar_flags |= CV_COVAR_USE_AVG;
covar_flags |= CV_COVAR_USE_AVG;
}
calcCovarMatrix( data, covar, mean, covar_flags, ctype );
@@ -2896,6 +2896,36 @@ PCA& PCA::operator()(InputArray _data, InputArray __mean, int flags, int maxComp
return *this;
}
template <typename T>
int computeCumulativeEnergy(const Mat& eigenvalues, double retainedVariance)
{
CV_DbgAssert( eigenvalues.type() == DataType<T>::type );
Mat g(eigenvalues.size(), DataType<T>::type);
for(int ig = 0; ig < g.rows; ig++)
{
g.at<T>(ig, 0) = 0;
for(int im = 0; im <= ig; im++)
{
g.at<T>(ig,0) += eigenvalues.at<T>(im,0);
}
}
int L;
for(L = 0; L < eigenvalues.rows; L++)
{
double energy = g.at<T>(L, 0) / g.at<T>(g.rows - 1, 0);
if(energy > retainedVariance)
break;
}
L = std::max(2, L);
return L;
}
PCA& PCA::operator()(InputArray _data, InputArray __mean, int flags, double retainedVariance)
{
Mat data = _data.getMat(), _mean = __mean.getMat();
@@ -2972,26 +3002,11 @@ PCA& PCA::operator()(InputArray _data, InputArray __mean, int flags, double reta
}
// compute the cumulative energy content for each eigenvector
Mat g(eigenvalues.size(), ctype);
for(int ig = 0; ig < g.rows; ig++)
{
g.at<float>(ig,0) = 0;
for(int im = 0; im <= ig; im++)
{
g.at<float>(ig,0) += eigenvalues.at<float>(im,0);
}
}
int L;
for(L = 0; L < eigenvalues.rows; L++)
{
double energy = g.at<float>(L, 0) / g.at<float>(g.rows - 1, 0);
if(energy > retainedVariance)
break;
}
L = std::max(2, L);
if (ctype == CV_32F)
L = computeCumulativeEnergy<float>(eigenvalues, retainedVariance);
else
L = computeCumulativeEnergy<double>(eigenvalues, retainedVariance);
// use clone() to physically copy the data and thus deallocate the original matrices
eigenvalues = eigenvalues.rowRange(0,L).clone();