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merged all the latest changes from 2.4 to trunk

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This commit is contained in:
Vadim Pisarevsky
2012-04-13 21:50:59 +00:00
parent 020f9a6047
commit 2fd1e2ea57
416 changed files with 12852 additions and 6070 deletions
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160
modules/features2d/src/detectors.cpp
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@@ -195,7 +195,7 @@ DenseFeatureDetector::DenseFeatureDetector( float _initFeatureScale, int _featur
void DenseFeatureDetector::detectImpl( const Mat& image, vector<KeyPoint>& keypoints, const Mat& mask ) const
{
float curScale = initFeatureScale;
float curScale = static_cast<float>(initFeatureScale);
int curStep = initXyStep;
int curBound = initImgBound;
for( int curLevel = 0; curLevel < featureScaleLevels; curLevel++ )
@@ -208,7 +208,7 @@ void DenseFeatureDetector::detectImpl( const Mat& image, vector<KeyPoint>& keypo
}
}
curScale = curScale * featureScaleMul;
curScale = static_cast<float>(curScale * featureScaleMul);
if( varyXyStepWithScale ) curStep = static_cast<int>( curStep * featureScaleMul + 0.5f );
if( varyImgBoundWithScale ) curBound = static_cast<int>( curBound * featureScaleMul + 0.5f );
}
@@ -359,5 +359,161 @@ void PyramidAdaptedFeatureDetector::detectImpl( const Mat& image, vector<KeyPoin
if( !mask.empty() )
KeyPointsFilter::runByPixelsMask( keypoints, mask );
}
/////////////////////// AlgorithmInfo for various detector & descriptors ////////////////////////////
/* NOTE!!!
All the AlgorithmInfo-related stuff should be in the same file as initModule_features2d().
Otherwise, linker may throw away some seemingly unused stuff.
*/
static Algorithm* createBRIEF() { return new BriefDescriptorExtractor; }
static AlgorithmInfo& brief_info()
{
static AlgorithmInfo brief_info_var("Feature2D.BRIEF", createBRIEF);
return brief_info_var;
}
static AlgorithmInfo& brief_info_auto = brief_info();
AlgorithmInfo* BriefDescriptorExtractor::info() const
{
static volatile bool initialized = false;
if( !initialized )
{
BriefDescriptorExtractor brief;
brief_info().addParam(brief, "bytes", brief.bytes_);
initialized = true;
}
return &brief_info();
}
///////////////////////////////////////////////////////////////////////////////////////////////////////////
static Algorithm* createFAST() { return new FastFeatureDetector; }
static AlgorithmInfo& fast_info()
{
static AlgorithmInfo fast_info_var("Feature2D.FAST", createFAST);
return fast_info_var;
}
static AlgorithmInfo& fast_info_auto = fast_info();
AlgorithmInfo* FastFeatureDetector::info() const
{
static volatile bool initialized = false;
if( !initialized )
{
FastFeatureDetector obj;
fast_info().addParam(obj, "threshold", obj.threshold);
fast_info().addParam(obj, "nonmaxSuppression", obj.nonmaxSuppression);
initialized = true;
}
return &fast_info();
}
///////////////////////////////////////////////////////////////////////////////////////////////////////////
static Algorithm* createStarDetector() { return new StarDetector; }
static AlgorithmInfo& star_info()
{
static AlgorithmInfo star_info_var("Feature2D.STAR", createStarDetector);
return star_info_var;
}
static AlgorithmInfo& star_info_auto = star_info();
AlgorithmInfo* StarDetector::info() const
{
static volatile bool initialized = false;
if( !initialized )
{
StarDetector obj;
star_info().addParam(obj, "maxSize", obj.maxSize);
star_info().addParam(obj, "responseThreshold", obj.responseThreshold);
star_info().addParam(obj, "lineThresholdProjected", obj.lineThresholdProjected);
star_info().addParam(obj, "lineThresholdBinarized", obj.lineThresholdBinarized);
star_info().addParam(obj, "suppressNonmaxSize", obj.suppressNonmaxSize);
initialized = true;
}
return &star_info();
}
///////////////////////////////////////////////////////////////////////////////////////////////////////////
static Algorithm* createMSER() { return new MSER; }
static AlgorithmInfo& mser_info()
{
static AlgorithmInfo mser_info_var("Feature2D.MSER", createMSER);
return mser_info_var;
}
static AlgorithmInfo& mser_info_auto = mser_info();
AlgorithmInfo* MSER::info() const
{
static volatile bool initialized = false;
if( !initialized )
{
MSER obj;
mser_info().addParam(obj, "delta", obj.delta);
mser_info().addParam(obj, "minArea", obj.minArea);
mser_info().addParam(obj, "maxArea", obj.maxArea);
mser_info().addParam(obj, "maxVariation", obj.maxVariation);
mser_info().addParam(obj, "minDiversity", obj.minDiversity);
mser_info().addParam(obj, "maxEvolution", obj.maxEvolution);
mser_info().addParam(obj, "areaThreshold", obj.areaThreshold);
mser_info().addParam(obj, "minMargin", obj.minMargin);
mser_info().addParam(obj, "edgeBlurSize", obj.edgeBlurSize);
initialized = true;
}
return &mser_info();
}
///////////////////////////////////////////////////////////////////////////////////////////////////////////
static Algorithm* createORB() { return new ORB; }
static AlgorithmInfo& orb_info()
{
static AlgorithmInfo orb_info_var("Feature2D.ORB", createORB);
return orb_info_var;
}
static AlgorithmInfo& orb_info_auto = orb_info();
AlgorithmInfo* ORB::info() const
{
static volatile bool initialized = false;
if( !initialized )
{
ORB obj;
orb_info().addParam(obj, "nFeatures", obj.nfeatures);
orb_info().addParam(obj, "scaleFactor", obj.scaleFactor);
orb_info().addParam(obj, "nLevels", obj.nlevels);
orb_info().addParam(obj, "firstLevel", obj.firstLevel);
orb_info().addParam(obj, "edgeThreshold", obj.edgeThreshold);
orb_info().addParam(obj, "patchSize", obj.patchSize);
orb_info().addParam(obj, "WTA_K", obj.WTA_K);
orb_info().addParam(obj, "scoreType", obj.scoreType);
initialized = true;
}
return &orb_info();
}
bool initModule_features2d(void)
{
Ptr<Algorithm> brief = createBRIEF(), orb = createORB(),
star = createStarDetector(), fastd = createFAST(), mser = createMSER();
return brief->info() != 0 && orb->info() != 0 && star->info() != 0 &&
fastd->info() != 0 && mser->info() != 0;
}
}