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

D

data_structures - package data_structures

dbEnv - Variable in class data_structures.AbstractSearchStructure

The database environment.

derivX - Variable in class utilities.boofcv_extensions.DescribePointSiftNormalization

derivY - Variable in class utilities.boofcv_extensions.DescribePointSiftNormalization

descretizationType - Variable in class feature_filtering.DiscretizationFilterCreation

The desired discretization type.

describe(double, double, double, double, SurfFeature) - Method in class utilities.boofcv_extensions.DescribePointSurfModNormalization

Computes the SURF descriptor for the specified interest point.

describe(double, double, double, double, SurfFeature) - Method in class utilities.boofcv_extensions.DescribePointSurfNormalization

Computes the SURF descriptor for the specified interest point.

describe - Variable in class utilities.boofcv_extensions.DetectDescribeSiftNormalization

describe - Variable in class utilities.boofcv_extensions.WrapDetectDescribeSurfNormalization

DescribePointSiftNormalization - Class in utilities.boofcv_extensions

Detects SIFT features inside the provided SIFT scale-space.

DescribePointSiftNormalization(int, int, int, double, double) - Constructor for class utilities.boofcv_extensions.DescribePointSiftNormalization

Configures detector

DescribePointSurfModNormalization<II extends boofcv.struct.image.ImageSingleBand> - Class in utilities.boofcv_extensions

Modified SURF descriptor which attempts to smooth out edge conditions.

DescribePointSurfModNormalization(int, int, int, int, double, double, boolean, Class<II>) - Constructor for class utilities.boofcv_extensions.DescribePointSurfModNormalization

Creates a SURF descriptor of arbitrary dimension by changing how the local region is sampled.

DescribePointSurfModNormalization(Class<II>) - Constructor for class utilities.boofcv_extensions.DescribePointSurfModNormalization

Create a SURF-64 descriptor.

DescribePointSurfNormalization<II extends boofcv.struct.image.ImageSingleBand> - Class in utilities.boofcv_extensions

Implementation of the SURF feature descriptor, see [1].

DescribePointSurfNormalization(int, int, int, double, boolean, Class<II>) - Constructor for class utilities.boofcv_extensions.DescribePointSurfNormalization

Creates a SURF descriptor of arbitrary dimension by changing how the local region is sampled.

DescribePointSurfNormalization(Class<II>) - Constructor for class utilities.boofcv_extensions.DescribePointSurfNormalization

Create a SURF-64 descriptor.

descriptorDatasetFormat - Variable in class feature_filtering.EntropyBasedFiltering

The format of the dataset used to create the filter.

DescriptorExtractor - Class in feature_extraction

Abstract class for all descriptor extractors.

DescriptorExtractor() - Constructor for class feature_extraction.DescriptorExtractor

descriptorLength - Static variable in class experimental_data_creation.BestVocSizeData

descriptorLength - Static variable in class experimental_data_creation.FeatureFilteringIntrinsicData

descriptorLength - Static variable in class experimental_data_creation.FeatureFilteringVocData

descriptorLength - Static variable in class experimental_data_creation.MultiVocData

descriptorLength - Static variable in class experimental_data_creation.SumVsMeanAggregationData

descriptorLength - Variable in class vector_aggregation.AbstractFeatureAggregator

The dimensionality of the local descriptors ( should be equal to the dimensionality of each centroid).

DescriptorsIO - Class in utilities

Utility class for various Descriptor IO operations.

DescriptorsIO() - Constructor for class utilities.DescriptorsIO

detect(ImageFloat32) - Method in class utilities.boofcv_extensions.WrapDetectDescribeSiftNormalization

detect(T) - Method in class utilities.boofcv_extensions.WrapDetectDescribeSurfNormalization

DetectDescribeSiftNormalization - Class in utilities.boofcv_extensions

SIFT where detection, orientation estimation, and describing are done all at once.

DetectDescribeSiftNormalization(SiftImageScaleSpace, SiftDetector, OrientationHistogramSift, DescribePointSiftNormalization) - Constructor for class utilities.boofcv_extensions.DetectDescribeSiftNormalization

detector - Variable in class utilities.boofcv_extensions.DetectDescribeSiftNormalization

detector - Variable in class utilities.boofcv_extensions.WrapDetectDescribeSurfNormalization

dimensionality_reduction - package dimensionality_reduction

discretizationFilter - Variable in class feature_filtering.DiscretizationFilterCreation

The learned discretization filter.

discretizationFilter - Variable in class feature_filtering.EntropyBasedFiltering

The discretization filter to use.

DiscretizationFilterCreation - Class in feature_filtering

This class is used for learning a discretization filter using Weka's Discretize class that supports both equal width and equal frequency binning.

DiscretizationFilterCreation(DiscretizationFilterCreation.discretizationTypes, int) - Constructor for class feature_filtering.DiscretizationFilterCreation

Constructor with 2 arguments, the discretization type and the number of bins.

DiscretizationFilterCreation.discretizationTypes - Enum in feature_filtering

The supported discretization types.

DiscretizationFilterCreation.discretizationTypes() - Constructor for enum feature_filtering.DiscretizationFilterCreation.discretizationTypes

displayStdDevsTipText() - Method in class codebook_generation.SimpleKMeansWithOutput

Returns the tip text for this property.

distance - Variable in class utilities.Result

The distance from the query vector.

distanceFunctionTipText() - Method in class codebook_generation.SimpleKMeansWithOutput

Returns the tip text for this property.

distractorsIndex - Static variable in class evaluation.EvaluationFromFile

A VladArray containing the vlad vectors of all the distractor images.

dontReplaceMissingValuesTipText() - Method in class codebook_generation.SimpleKMeansWithOutput

Returns the tip text for this property.

doubleInputImaged - Variable in class feature_extraction.SIFTExtractor

doWhitening - Variable in class dimensionality_reduction.PCA

Whether to perform whitening.