A B C D E F G H I J K L M N O P Q R S T U V W

F

FactoryDescribePointAlgsNormalization - Class in utilities.boofcv_extensions

Creates algorithms for describing point features.

FactoryDescribePointAlgsNormalization() - Constructor for class utilities.boofcv_extensions.FactoryDescribePointAlgsNormalization

FactoryDetectDescribeNormalization - Class in utilities.boofcv_extensions

Creates instances of DetectDescribePoint for different feature detectors/describers.

FactoryDetectDescribeNormalization() - Constructor for class utilities.boofcv_extensions.FactoryDetectDescribeNormalization

fastDistanceCalcTipText() - Method in class codebook_generation.SimpleKMeansWithOutput

Returns the tip text for this property.

feature_extraction - package feature_extraction

feature_filtering - package feature_filtering

featureAngles - Variable in class utilities.boofcv_extensions.DetectDescribeSiftNormalization

featureAngles - Variable in class utilities.boofcv_extensions.WrapDetectDescribeSurfNormalization

featureDOF - Variable in class utilities.boofcv_extensions.DescribePointSurfNormalization

FeatureFilteringIntrinsicData - Class in experimental_data_creation

This class can be used to generate the datasets of feature filtering based on intrinsic feature structure experiment.

FeatureFilteringIntrinsicData() - Constructor for class experimental_data_creation.FeatureFilteringIntrinsicData

FeatureFilteringVocData - Class in experimental_data_creation

This class can be used to generate the datasets of the feature filtering based on feature-vocabulary relation experiment.

FeatureFilteringVocData() - Constructor for class experimental_data_creation.FeatureFilteringVocData

features(double, double, double, double, double, SparseImageGradient, double[]) - Method in class utilities.boofcv_extensions.DescribePointSurfModNormalization

An improved SURF descriptor as presented in CenSurE paper.

features(double, double, double, double, double, SparseImageGradient, double[]) - Method in class utilities.boofcv_extensions.DescribePointSurfNormalization

Computes features in the SURF descriptor.

features - Variable in class utilities.boofcv_extensions.DetectDescribeSiftNormalization

features - Variable in class utilities.boofcv_extensions.WrapDetectDescribeSurfNormalization

featureScales - Variable in class utilities.boofcv_extensions.DetectDescribeSiftNormalization

featuresRejected - Variable in class vector_aggregation.VladAggregatorWithFiltering

Counts the total number of rejected features.

filter(double[][]) - Method in class feature_filtering.AbstractFeatureFiltering

Applies filtering and returns the filtered features as a 2-dimensional array.

filter(ArrayList<double[]>) - Method in class feature_filtering.AbstractFeatureFiltering

Applies filtering and returns the filtered features.

filter(Object) - Method in class utilities.ImageIOGreyScale.CanDecodeInputFilter

filter(Object) - Method in class utilities.ImageIOGreyScale.CanEncodeImageAndFormatFilter

filter(Object) - Method in class utilities.ImageIOGreyScale.ContainsFilter

filter(Object) - Method in class utilities.ImageIOGreyScale.TranscoderFilter

filteringMethod - Variable in class vector_aggregation.VladAggregatorWithFiltering

The VladAggregatorWithFiltering.FilteringMethod to be used.

filterInternal(double[][]) - Method in class feature_filtering.AbstractFeatureFiltering

Subclasses should provide the implementation.

filterInternal(ArrayList<double[]>) - Method in class feature_filtering.AbstractFeatureFiltering

Subclasses should provide the implementation.

filterInternal(double[][]) - Method in class feature_filtering.EntropyBasedFiltering

filterInternal(ArrayList<double[]>) - Method in class feature_filtering.EntropyBasedFiltering

filterInternal(double[][]) - Method in class feature_filtering.RandomFiltering

filterInternal(ArrayList<double[]>) - Method in class feature_filtering.RandomFiltering

filterInternal(double[][]) - Method in class feature_filtering.VarianceBasedFiltering

filterInternal(ArrayList<double[]>) - Method in class feature_filtering.VarianceBasedFiltering

formatName - Variable in class utilities.ImageIOGreyScale.CanEncodeImageAndFormatFilter

foundPoints - Variable in class utilities.boofcv_extensions.WrapDetectDescribeSurfNormalization

fuseTogether(InterestPointDetector<T>, OrientationImage<T>, DescribeRegionPoint<T, D>) - Static method in class utilities.boofcv_extensions.FactoryDetectDescribeNormalization

Given independent algorithms for feature detection, orientation, and describing, create a new DetectDescribePoint.