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

A

A - Variable in class dimensionality_reduction.PCA

where the data is stored

AbstractFeatureAggregator - Class in vector_aggregation

All methods which aggregate a set of local image descriptors should extend this abstract class.

AbstractFeatureAggregator() - Constructor for class vector_aggregation.AbstractFeatureAggregator

AbstractFeatureAggregator(double[][]) - Constructor for class vector_aggregation.AbstractFeatureAggregator

The constructor.

AbstractFeatureFiltering - Class in feature_filtering

This abstract class is extended by all feature filtering methods that are based on the intrinsic feature structure.

AbstractFeatureFiltering() - Constructor for class feature_filtering.AbstractFeatureFiltering

AbstractSearchStructure - Class in data_structures

This abstract class abstracts the bdb environment creation and name to id mapping operations from the actual indexing structures.

AbstractSearchStructure(int, int, int, boolean, boolean) - Constructor for class data_structures.AbstractSearchStructure

This constructor can be used when we do not want persistence.

ADC - Class in data_structures

This class implements ADC (Asymmetric Distance Computation).

ADC(int, int, int, boolean, int, int, String, boolean, boolean) - Constructor for class data_structures.ADC

Advanced constructor.

ADC(int, int, int, boolean, int, String) - Constructor for class data_structures.ADC

Simple constructor.

adcBDB - Variable in class data_structures.ADC

Berkeley db for persistence of the ADC index

addSample(double[]) - Method in class dimensionality_reduction.PCA

Adds a new sample of the raw data to internal data structure for later processing.

addToHistograms(int, int, double, double, double, double) - Method in class utilities.boofcv_extensions.DescribePointSiftNormalization

advancedUse() - Static method in class feature_extraction.ImageScaling

aggregate(double[][]) - Method in class vector_aggregation.AbstractFeatureAggregator

This method performs some general checks before calling the aggregateInternal method which is implemented by each aggregator.

aggregate(ArrayList<double[]>) - Method in class vector_aggregation.AbstractFeatureAggregator

This method performs some general checks before calling the aggregateInternal method which is implemented by each aggregator.

aggregate(ArrayList<double[]>) - Method in class vector_aggregation.VladAggregatorMultipleVocabularies

Takes as input an ArrayList of double arrays which contains the set of local descriptors for an image.

aggregate(double[][]) - Method in class vector_aggregation.VladAggregatorMultipleVocabularies

aggregateInternal(ArrayList<double[]>) - Method in class vector_aggregation.AbstractFeatureAggregator

This method should be overridden by all aggregators.

aggregateInternal(double[][]) - Method in class vector_aggregation.AbstractFeatureAggregator

This method should be overridden by all aggregators.

aggregateInternal(double[][]) - Method in class vector_aggregation.BowAggregator

aggregateInternal(ArrayList<double[]>) - Method in class vector_aggregation.BowAggregator

aggregateInternal(double[][]) - Method in class vector_aggregation.VladAggregator

Takes as input 2-dimensional double array which contains the set of local descriptors for an image.

aggregateInternal(ArrayList<double[]>) - Method in class vector_aggregation.VladAggregator

Takes as input an ArrayList of double arrays which contains the set of local descriptors for an image.

aggregateInternal(double[][]) - Method in class vector_aggregation.VladAggregatorMean

Takes as input 2-dimensional double array which contains the set of local descriptors for an image.

aggregateInternal(ArrayList<double[]>) - Method in class vector_aggregation.VladAggregatorMean

Takes as input an ArrayList of double arrays which contains the set of local descriptors for an image.

aggregateInternal(double[][]) - Method in class vector_aggregation.VladAggregatorWithFiltering

Takes as input 2-dimensional double array which contains the set of local features for an image.

aggregateInternal(ArrayList<double[]>) - Method in class vector_aggregation.VladAggregatorWithFiltering

Takes as input an ArrayList of double arrays which contains the set of local features for an image.

alg - Variable in class utilities.boofcv_extensions.WrapDetectDescribeSiftNormalization

angleStep - Variable in class utilities.boofcv_extensions.DescribePointSiftNormalization

Answer - Class in utilities

This class represents the response of our image search systems which contains an ordered list of results along with the time required for searching the index.

Answer(Result[], long, long) - Constructor for class utilities.Answer

averagePrecision - Variable in class evaluation.EvaluationFromFile

Average precision per query.

avgLookUpTimeCol - Variable in class evaluation.EvaluationFromFile

avgLookUpTimeDist - Variable in class evaluation.EvaluationFromFile

avgSearchTimeCol - Variable in class evaluation.EvaluationFromFile

avgSearchTimeDist - Variable in class evaluation.EvaluationFromFile