Update PR after mdim review.

This commit is contained in:
Mathieu Barnachon
2013-09-05 16:05:54 +12:00
parent 43c9818895
commit 464985205c
3 changed files with 38 additions and 124 deletions

View File

@@ -121,6 +121,10 @@ BOWImgDescriptorExtractor::BOWImgDescriptorExtractor( const Ptr<DescriptorExtrac
dextractor(_dextractor), dmatcher(_dmatcher)
{}
BOWImgDescriptorExtractor::BOWImgDescriptorExtractor( const Ptr<DescriptorMatcher>& _dmatcher ) :
dmatcher(_dmatcher)
{}
BOWImgDescriptorExtractor::~BOWImgDescriptorExtractor()
{}
@@ -144,12 +148,34 @@ void BOWImgDescriptorExtractor::compute( const Mat& image, std::vector<KeyPoint>
if( keypoints.empty() )
return;
int clusterCount = descriptorSize(); // = vocabulary.rows
// Compute descriptors for the image.
Mat descriptors;
dextractor->compute( image, keypoints, descriptors );
compute( descriptors, imgDescriptor, pointIdxsOfClusters );
// Add the descriptors of image keypoints
if (_descriptors) {
*_descriptors = descriptors.clone();
}
}
int BOWImgDescriptorExtractor::descriptorSize() const
{
return vocabulary.empty() ? 0 : vocabulary.rows;
}
int BOWImgDescriptorExtractor::descriptorType() const
{
return CV_32FC1;
}
void BOWImgDescriptorExtractor::compute( const Mat& descriptors, Mat& imgDescriptor, std::vector<std::vector<int> >* pointIdxsOfClusters )
{
CV_Assert( vocabulary.empty() != false );
int clusterCount = descriptorSize(); // = vocabulary.rows
// Match keypoint descriptors to cluster center (to vocabulary)
std::vector<DMatch> matches;
dmatcher->match( descriptors, matches );
@@ -176,93 +202,6 @@ void BOWImgDescriptorExtractor::compute( const Mat& image, std::vector<KeyPoint>
// Normalize image descriptor.
imgDescriptor /= descriptors.rows;
// Add the descriptors of image keypoints
if (_descriptors) {
*_descriptors = descriptors.clone();
}
}
int BOWImgDescriptorExtractor::descriptorSize() const
{
return vocabulary.empty() ? 0 : vocabulary.rows;
}
int BOWImgDescriptorExtractor::descriptorType() const
{
return CV_32FC1;
}
BOWImgDescriptorMatcher::BOWImgDescriptorMatcher( const Ptr<DescriptorMatcher>& _dmatcher ) :
dmatcher(_dmatcher),
_type( -1 )
{}
BOWImgDescriptorMatcher::~BOWImgDescriptorMatcher()
{}
void BOWImgDescriptorMatcher::setVocabulary( const Mat& _vocabulary )
{
dmatcher->clear();
CV_Assert( _vocabulary.type() == CV_32F );
vocabulary = _vocabulary;
dmatcher->add( std::vector<Mat>(1, vocabulary) );
}
const Mat& BOWImgDescriptorMatcher::getVocabulary() const
{
return vocabulary;
}
void BOWImgDescriptorMatcher::compute( const Mat & descriptors, Mat& vocDescriptor, std::vector<std::vector<int> > * pointIdxsOfClusters )
{
vocDescriptor.release();
int clusterCount = descriptorSize(); // = vocabulary.rows
_type = descriptors.type();
Mat _descriptors;
if( _type != CV_32F )
descriptors.convertTo( _descriptors, CV_32F );
else
descriptors.copyTo( _descriptors );
// Match keypoint descriptors to cluster center (to vocabulary)
std::vector<DMatch> matches;
dmatcher->match( _descriptors, matches );
// Compute image descriptor
if( pointIdxsOfClusters )
{
pointIdxsOfClusters->clear();
pointIdxsOfClusters->resize(clusterCount);
}
vocDescriptor = Mat::zeros( 1, clusterCount, descriptorType() );
float *dptr = (float*)vocDescriptor.data;
for( size_t i = 0; i < matches.size(); i++ )
{
int queryIdx = matches[i].queryIdx;
int trainIdx = matches[i].trainIdx; // cluster index
CV_Assert( queryIdx == (int)i );
dptr[trainIdx] = dptr[trainIdx] + 1.f;
if( pointIdxsOfClusters )
(*pointIdxsOfClusters)[trainIdx].push_back( queryIdx );
}
// Normalize image descriptor.
vocDescriptor /= descriptors.rows;
}
int BOWImgDescriptorMatcher::descriptorSize() const
{
return vocabulary.empty() ? 0 : vocabulary.rows;
}
int BOWImgDescriptorMatcher::descriptorType() const
{
return _type;
}
}