83     int modelPoints;  member in CvModelEstimator2
92     modelPoints = _modelPoints;  in CvModelEstimator2()
179     if( count < modelPoints )  in runRANSAC()
186     if( count > modelPoints )  in runRANSAC()
188         ms1 = cvCreateMat( 1, modelPoints, m1->type );  in runRANSAC()
189         ms2 = cvCreateMat( 1, modelPoints, m2->type );  in runRANSAC()
201         if( count > modelPoints )  in runRANSAC()
203             bool found = getSubset( m1, m2, ms1, ms2, modelPoints );  in runRANSAC()
221             if( goodCount > MAX(maxGoodCount, modelPoints-1) )  in runRANSAC()
227                     (double)(count - goodCount)/count, modelPoints, niters );  in runRANSAC()
276     if( count < modelPoints )  in CV_IMPLEMENT_QSORT()
282     if( count > modelPoints )  in CV_IMPLEMENT_QSORT()
284         ms1 = cvCreateMat( 1, modelPoints, m1->type );  in CV_IMPLEMENT_QSORT()
285         ms2 = cvCreateMat( 1, modelPoints, m2->type );  in CV_IMPLEMENT_QSORT()
294     niters = cvRound(log(1-confidence)/log(1-pow(1-outlierRatio,(double)modelPoints)));  in CV_IMPLEMENT_QSORT()
300         if( count > modelPoints )  in CV_IMPLEMENT_QSORT()
334         sigma = 2.5*1.4826*(1 + 5./(count - modelPoints))*sqrt(minMedian);  in CV_IMPLEMENT_QSORT()
338         result = count >= modelPoints;  in CV_IMPLEMENT_QSORT()
356     int* idx = (int*)cvStackAlloc( modelPoints*sizeof(idx[0]) );  in getSubset()
368         for( i = 0; i < modelPoints && iters < maxAttempts; iters++ )  in getSubset()
386         if( !checkPartialSubsets && i == modelPoints &&  in getSubset()
392     return i == modelPoints;  in getSubset()
427     CvHomographyEstimator( int modelPoints );
680     return modelPoints == 7 ? run7Point( m1, m2, model ) : run8Point( m1, m2, model );  in runKernel()