void computeSeqReprojError( CvSeq *seq, CvMat *model, double *error )
{
CvSeqReader reader;
Match_t match;
cvStartReadSeq( seq, &reader, 0 );
for( int i = 0; i < seq->total; i ++ ) {
CV_READ_SEQ_ELEM( match, reader );
error[i] = computeReprojError( &match, model );
}
}
int OptimizationRANSAC::findInliers( const cv::Mat& m1, const cv::Mat& m2,
const cv::Mat& model, cv::Mat& err,
cv::Mat& mask, double threshold )
{
const int count = err.rows;
int good_count = 0;
const double* _err = reinterpret_cast<double *>(err.data);
uchar* _mask = (uchar *)mask.data;
threshold *= threshold;
computeReprojError( m1, m2, model, err );
for(int i = 0; i < count; i++ )
{
//std::cout << _err[i] << ", ";
good_count += _mask[i] = _err[i] <= threshold;
}
//std::cout << std::endl;
return good_count;
}
void computeSetReprojError( MatchSet_t *set, CvMat *model )
{
for( int i = 0; i < set->length; i ++ ) {
set->error[i] = computeReprojError( &(set->d[i]), model );
}
}
