68 		MyCvHidHaarFeature feature;  member
298                 CvHaarFeature* feature = classifier->haar_feature + l;  in myicvCreateHidHaarClassifierCascade()  local
304                 if( fabs(feature->rect[2].weight) < DBL_EPSILON ||  in myicvCreateHidHaarClassifierCascade()
305 				   feature->rect[2].r.width == 0 ||  in myicvCreateHidHaarClassifierCascade()
306 				   feature->rect[2].r.height == 0 )  in myicvCreateHidHaarClassifierCascade()
307                     memset( &(node->feature.rect[2]), 0, sizeof(node->feature.rect[2]) );  in myicvCreateHidHaarClassifierCascade()
413         double sum = calc_sum(node->feature.rect[0],p_offset) * node->feature.rect[0].weight;  in myicvEvalHidHaarClassifier()
414         sum += calc_sum(node->feature.rect[1],p_offset) * node->feature.rect[1].weight;  in myicvEvalHidHaarClassifier()
416         if( node->feature.rect[2].p0 )  in myicvEvalHidHaarClassifier()
417             sum += calc_sum(node->feature.rect[2],p_offset) * node->feature.rect[2].weight;  in myicvEvalHidHaarClassifier()
563 …                 int sum = calc_sum(node->feature.rect[0],p_offset) * node->feature.rect[0].weight;  in mycvRunHaarClassifierCascade()
564                     sum += calc_sum(node->feature.rect[1],p_offset) * node->feature.rect[1].weight;  in mycvRunHaarClassifierCascade()
575 …                 int sum = calc_sum(node->feature.rect[0],p_offset) * node->feature.rect[0].weight;  in mycvRunHaarClassifierCascade()
576                     sum += calc_sum(node->feature.rect[1],p_offset) * node->feature.rect[1].weight;  in mycvRunHaarClassifierCascade()
577                     if( node->feature.rect[2].p0 )  in mycvRunHaarClassifierCascade()
578 …                    sum += calc_sum(node->feature.rect[2],p_offset) * node->feature.rect[2].weight;  in mycvRunHaarClassifierCascade()
727 					CvHaarFeature* feature =  in mycvSetImagesForHaarClassifierCascade()  local
732                     &cascade->stage_classifier[i].classifier[j].node[l].feature;  in mycvSetImagesForHaarClassifierCascade()
750 						r[k] = feature->rect[k].r;  in mycvSetImagesForHaarClassifierCascade()
817 							const float orig_feature_size =  (float)(feature->rect[k].r.width)*feature->rect[k].r.height;  in mycvSetImagesForHaarClassifierCascade()
828 						correction_ratio = weight_scale * (!feature->tilted ? 1 : 0.5);  in mycvSetImagesForHaarClassifierCascade()
831 						if( !feature->tilted )  in mycvSetImagesForHaarClassifierCascade()
848 						tmpweight[k] = (float)(feature->rect[k].weight * correction_ratio);  in mycvSetImagesForHaarClassifierCascade()