Commit 816adcfd authored by Andrey Kamaev's avatar Andrey Kamaev Committed by OpenCV Buildbot

Merge pull request #605 from vpisarev:c2cpp_calib3d_stereo

parents b9ab5939 df89f30b
......@@ -669,18 +669,32 @@ CV_EXPORTS_W void triangulatePoints( InputArray projMatr1, InputArray projMatr2,
CV_EXPORTS_W void correctMatches( InputArray F, InputArray points1, InputArray points2,
OutputArray newPoints1, OutputArray newPoints2 );
template<> CV_EXPORTS void Ptr<CvStereoBMState>::delete_obj();
/*!
Block Matching Stereo Correspondence Algorithm
class CV_EXPORTS_W StereoMatcher : public Algorithm
{
public:
CV_WRAP virtual void compute( InputArray left, InputArray right,
OutputArray disparity ) = 0;
};
The class implements BM stereo correspondence algorithm by K. Konolige.
*/
enum { STEREO_DISP_SCALE=16, STEREO_PREFILTER_NORMALIZED_RESPONSE = 0, STEREO_PREFILTER_XSOBEL = 1 };
CV_EXPORTS Ptr<StereoMatcher> createStereoBM(int numDisparities=0, int SADWindowSize=21);
CV_EXPORTS Ptr<StereoMatcher> createStereoSGBM(int minDisparity, int numDisparities, int SADWindowSize,
int P1=0, int P2=0, int disp12MaxDiff=0,
int preFilterCap=0, int uniquenessRatio=0,
int speckleWindowSize=0, int speckleRange=0,
bool fullDP=false);
template<> CV_EXPORTS void Ptr<CvStereoBMState>::delete_obj();
// to be moved to "compat" module
class CV_EXPORTS_W StereoBM
{
public:
enum { PREFILTER_NORMALIZED_RESPONSE = 0, PREFILTER_XSOBEL = 1,
BASIC_PRESET=0, FISH_EYE_PRESET=1, NARROW_PRESET=2 };
BASIC_PRESET=0, FISH_EYE_PRESET=1, NARROW_PRESET=2 };
//! the default constructor
CV_WRAP StereoBM();
......@@ -697,11 +711,7 @@ public:
};
/*!
Semi-Global Block Matching Stereo Correspondence Algorithm
The class implements the original SGBM stereo correspondence algorithm by H. Hirschmuller and some its modification.
*/
// to be moved to "compat" module
class CV_EXPORTS_W StereoSGBM
{
public:
......@@ -736,7 +746,7 @@ public:
CV_PROP_RW bool fullDP;
protected:
Mat buffer;
Ptr<StereoMatcher> sm;
};
//! filters off speckles (small regions of incorrectly computed disparity)
......
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#include "precomp.hpp"
CvStereoBMState* cvCreateStereoBMState( int /*preset*/, int numberOfDisparities )
{
CvStereoBMState* state = (CvStereoBMState*)cvAlloc( sizeof(*state) );
if( !state )
return 0;
state->preFilterType = CV_STEREO_BM_XSOBEL; //CV_STEREO_BM_NORMALIZED_RESPONSE;
state->preFilterSize = 9;
state->preFilterCap = 31;
state->SADWindowSize = 15;
state->minDisparity = 0;
state->numberOfDisparities = numberOfDisparities > 0 ? numberOfDisparities : 64;
state->textureThreshold = 10;
state->uniquenessRatio = 15;
state->speckleRange = state->speckleWindowSize = 0;
state->trySmallerWindows = 0;
state->roi1 = state->roi2 = cvRect(0,0,0,0);
state->disp12MaxDiff = -1;
state->preFilteredImg0 = state->preFilteredImg1 = state->slidingSumBuf =
state->disp = state->cost = 0;
return state;
}
void cvReleaseStereoBMState( CvStereoBMState** state )
{
if( !state )
CV_Error( CV_StsNullPtr, "" );
if( !*state )
return;
cvReleaseMat( &(*state)->preFilteredImg0 );
cvReleaseMat( &(*state)->preFilteredImg1 );
cvReleaseMat( &(*state)->slidingSumBuf );
cvReleaseMat( &(*state)->disp );
cvReleaseMat( &(*state)->cost );
cvFree( state );
}
template<> void cv::Ptr<CvStereoBMState>::delete_obj()
{ cvReleaseStereoBMState(&obj); }
void cvFindStereoCorrespondenceBM( const CvArr* leftarr, const CvArr* rightarr,
CvArr* disparr, CvStereoBMState* state )
{
cv::Mat left = cv::cvarrToMat(leftarr), right = cv::cvarrToMat(rightarr);
const cv::Mat disp = cv::cvarrToMat(disparr);
CV_Assert( state != 0 );
cv::Ptr<cv::StereoMatcher> sm = cv::createStereoBM(state->numberOfDisparities,
state->SADWindowSize);
sm->set("preFilterType", state->preFilterType);
sm->set("preFilterSize", state->preFilterSize);
sm->set("preFilterCap", state->preFilterCap);
sm->set("SADWindowSize", state->SADWindowSize);
sm->set("numDisparities", state->numberOfDisparities > 0 ? state->numberOfDisparities : 64);
sm->set("textureThreshold", state->textureThreshold);
sm->set("uniquenessRatio", state->uniquenessRatio);
sm->set("speckleRange", state->speckleRange);
sm->set("speckleWindowSize", state->speckleWindowSize);
sm->set("disp12MaxDiff", state->disp12MaxDiff);
sm->compute(left, right, disp);
}
CvRect cvGetValidDisparityROI( CvRect roi1, CvRect roi2, int minDisparity,
int numberOfDisparities, int SADWindowSize )
{
return (CvRect)cv::getValidDisparityROI( roi1, roi2, minDisparity,
numberOfDisparities, SADWindowSize );
}
void cvValidateDisparity( CvArr* _disp, const CvArr* _cost, int minDisparity,
int numberOfDisparities, int disp12MaxDiff )
{
cv::Mat disp = cv::cvarrToMat(_disp), cost = cv::cvarrToMat(_cost);
cv::validateDisparity( disp, cost, minDisparity, numberOfDisparities, disp12MaxDiff );
}
namespace cv
{
StereoBM::StereoBM()
{ init(BASIC_PRESET); }
StereoBM::StereoBM(int _preset, int _ndisparities, int _SADWindowSize)
{ init(_preset, _ndisparities, _SADWindowSize); }
void StereoBM::init(int _preset, int _ndisparities, int _SADWindowSize)
{
state = cvCreateStereoBMState(_preset, _ndisparities);
state->SADWindowSize = _SADWindowSize;
}
void StereoBM::operator()( InputArray _left, InputArray _right,
OutputArray _disparity, int disptype )
{
Mat left = _left.getMat(), right = _right.getMat();
CV_Assert( disptype == CV_16S || disptype == CV_32F );
_disparity.create(left.size(), disptype);
Mat disp = _disparity.getMat();
CvMat left_c = left, right_c = right, disp_c = disp;
cvFindStereoCorrespondenceBM(&left_c, &right_c, &disp_c, state);
}
StereoSGBM::StereoSGBM()
{
minDisparity = numberOfDisparities = 0;
SADWindowSize = 0;
P1 = P2 = 0;
disp12MaxDiff = 0;
preFilterCap = 0;
uniquenessRatio = 0;
speckleWindowSize = 0;
speckleRange = 0;
fullDP = false;
sm = createStereoSGBM(0, 0, 0);
}
StereoSGBM::StereoSGBM( int _minDisparity, int _numDisparities, int _SADWindowSize,
int _P1, int _P2, int _disp12MaxDiff, int _preFilterCap,
int _uniquenessRatio, int _speckleWindowSize, int _speckleRange,
bool _fullDP )
{
minDisparity = _minDisparity;
numberOfDisparities = _numDisparities;
SADWindowSize = _SADWindowSize;
P1 = _P1;
P2 = _P2;
disp12MaxDiff = _disp12MaxDiff;
preFilterCap = _preFilterCap;
uniquenessRatio = _uniquenessRatio;
speckleWindowSize = _speckleWindowSize;
speckleRange = _speckleRange;
fullDP = _fullDP;
sm = createStereoSGBM(0, 0, 0);
}
StereoSGBM::~StereoSGBM()
{
}
void StereoSGBM::operator ()( InputArray _left, InputArray _right,
OutputArray _disp )
{
sm->set("minDisparity", minDisparity);
sm->set("numDisparities", numberOfDisparities);
sm->set("SADWindowSize", SADWindowSize);
sm->set("P1", P1);
sm->set("P2", P2);
sm->set("disp12MaxDiff", disp12MaxDiff);
sm->set("preFilterCap", preFilterCap);
sm->set("uniquenessRatio", uniquenessRatio);
sm->set("speckleWindowSize", speckleWindowSize);
sm->set("speckleRange", speckleRange);
sm->set("fullDP", fullDP);
sm->compute(_left, _right, _disp);
}
}
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......@@ -66,8 +66,8 @@ int main(int argc, char** argv)
bool no_display = false;
float scale = 1.f;
StereoBM bm;
StereoSGBM sgbm;
Ptr<StereoMatcher> bm = createStereoBM(16,9);
Ptr<StereoMatcher> sgbm = createStereoSGBM(0,16,3);
StereoVar var;
for( int i = 1; i < argc; i++ )
......@@ -220,32 +220,33 @@ int main(int argc, char** argv)
numberOfDisparities = numberOfDisparities > 0 ? numberOfDisparities : ((img_size.width/8) + 15) & -16;
bm.state->roi1 = roi1;
bm.state->roi2 = roi2;
bm.state->preFilterCap = 31;
bm.state->SADWindowSize = SADWindowSize > 0 ? SADWindowSize : 9;
bm.state->minDisparity = 0;
bm.state->numberOfDisparities = numberOfDisparities;
bm.state->textureThreshold = 10;
bm.state->uniquenessRatio = 15;
bm.state->speckleWindowSize = 100;
bm.state->speckleRange = 32;
bm.state->disp12MaxDiff = 1;
sgbm.preFilterCap = 63;
sgbm.SADWindowSize = SADWindowSize > 0 ? SADWindowSize : 3;
//bm->set("roi1", roi1);
//bm->set("roi2", roi2);
bm->set("preFilterCap", 31);
bm->set("SADWindowSize", SADWindowSize > 0 ? SADWindowSize : 9);
bm->set("minDisparity", 0);
bm->set("numDisparities", numberOfDisparities);
bm->set("textureThreshold", 10);
bm->set("uniquenessRatio", 15);
bm->set("speckleWindowSize", 100);
bm->set("speckleRange", 32);
bm->set("disp12MaxDiff", 1);
sgbm->set("preFilterCap", 63);
int sgbmWinSize = SADWindowSize > 0 ? SADWindowSize : 3;
sgbm->set("SADWindowSize", sgbmWinSize);
int cn = img1.channels();
sgbm.P1 = 8*cn*sgbm.SADWindowSize*sgbm.SADWindowSize;
sgbm.P2 = 32*cn*sgbm.SADWindowSize*sgbm.SADWindowSize;
sgbm.minDisparity = 0;
sgbm.numberOfDisparities = numberOfDisparities;
sgbm.uniquenessRatio = 10;
sgbm.speckleWindowSize = bm.state->speckleWindowSize;
sgbm.speckleRange = bm.state->speckleRange;
sgbm.disp12MaxDiff = 1;
sgbm.fullDP = alg == STEREO_HH;
sgbm->set("P1", 8*cn*sgbmWinSize*sgbmWinSize);
sgbm->set("P2", 32*cn*sgbmWinSize*sgbmWinSize);
sgbm->set("minDisparity", 0);
sgbm->set("numDisparities", numberOfDisparities);
sgbm->set("uniquenessRatio", 10);
sgbm->set("speckleWindowSize", 100);
sgbm->set("speckleRange", 32);
sgbm->set("disp12MaxDiff", 1);
sgbm->set("fullDP", alg == STEREO_HH);
var.levels = 3; // ignored with USE_AUTO_PARAMS
var.pyrScale = 0.5; // ignored with USE_AUTO_PARAMS
......@@ -267,12 +268,12 @@ int main(int argc, char** argv)
int64 t = getTickCount();
if( alg == STEREO_BM )
bm(img1, img2, disp);
bm->compute(img1, img2, disp);
else if( alg == STEREO_VAR ) {
var(img1, img2, disp);
}
else if( alg == STEREO_SGBM || alg == STEREO_HH )
sgbm(img1, img2, disp);
sgbm->compute(img1, img2, disp);
t = getTickCount() - t;
printf("Time elapsed: %fms\n", t*1000/getTickFrequency());
......
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