Module opencv::shape

Shape Distance and Matching

Modules

prelude

Traits

AffineTransformer

Wrapper class for the OpenCV Affine Transformation algorithm. :

ChiHistogramCostExtractor

An Chi based cost extraction. :

EMDHistogramCostExtractor

An EMD based cost extraction. :

EMDL1HistogramCostExtractor

An EMD-L1 based cost extraction. :

HausdorffDistanceExtractor

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HistogramCostExtractor

Abstract base class for histogram cost algorithms.

NormHistogramCostExtractor

A norm based cost extraction. :

ShapeContextDistanceExtractor

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ShapeDistanceExtractor

@example modules/shape/samples/shape_example.cpp An example using shape distance algorithm

ShapeTransformer

Abstract base class for shape transformation algorithms.

ThinPlateSplineShapeTransformer

Definition of the transformation

Functions

create_affine_transformer

Complete constructor

create_chi_histogram_cost_extractor

C++ default parameters

create_emd_histogram_cost_extractor

C++ default parameters

create_emdl1_histogram_cost_extractor

C++ default parameters

create_hausdorff_distance_extractor

C++ default parameters

create_norm_histogram_cost_extractor

C++ default parameters

create_shape_context_distance_extractor

C++ default parameters

create_thin_plate_spline_shape_transformer

Complete constructor

emdl1

Computes the “minimal work” distance between two weighted point configurations base on the papers “EMD-L1: An efficient and Robust Algorithm for comparing histogram-based descriptors”, by Haibin Ling and Kazunori Okuda; and “The Earth Mover’s Distance is the Mallows Distance: Some Insights from Statistics”, by Elizaveta Levina and Peter Bickel.