boofcv.alg.feature.describe

Class DescribePointBrief<T extends ImageSingleBand>

java.lang.Object

boofcv.alg.feature.describe.DescribePointBrief<T>

public class DescribePointBrief<T extends ImageSingleBand>
extends Object

BRIEF: Binary Robust Independent Elementary Features. [1] Invariance: light. Fast to compute and to compare feature descriptions. A variant on DescribePointBinaryCompare where the descriptor is computed from a single, randomly generated definition after the image has been blurred.

[1] Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua. "BRIEF: Binary Robust Independent Elementary Features" in European Conference on Computer Vision, September 2010.

Author:

Peter Abeles

Field Summary

Fields

Modifier and Type	Field and Description
protected T	blur
protected DescribePointBinaryCompare<T>	describe
protected BlurFilter<T>	filterBlur

Constructor Summary

Constructors

Constructor and Description
DescribePointBrief(DescribePointBinaryCompare<T> describe, BlurFilter<T> filterBlur)

Method Summary

Methods

Modifier and Type	Method and Description
TupleDesc_B	createFeature() Function which creates a description of the appropriate size.
BinaryCompareDefinition_I32	getDefinition()
void	process(double c_x, double c_y, TupleDesc_B feature) Computes the descriptor at the specified point.
void	setImage(T image) Specifies the image from which feature descriptions are to be created.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

filterBlur

protected BlurFilter<T extends ImageSingleBand> filterBlur

blur

protected T extends ImageSingleBand blur

describe

protected DescribePointBinaryCompare<T extends ImageSingleBand> describe

Constructor Detail

DescribePointBrief

public DescribePointBrief(DescribePointBinaryCompare<T> describe,
                  BlurFilter<T> filterBlur)

Method Detail

createFeature

public TupleDesc_B createFeature()

Function which creates a description of the appropriate size.

Returns:

Creates a bew description.

setImage

public void setImage(T image)

Specifies the image from which feature descriptions are to be created.

Parameters:

image - Image being examined.

process

public void process(double c_x,
           double c_y,
           TupleDesc_B feature)

Computes the descriptor at the specified point. If the region go outside of the image then a description will not be made.

Parameters:

c_x - Center of region being described.

c_y - Center of region being described.

feature - Where the descriptor is written to.

getDefinition

public BinaryCompareDefinition_I32 getDefinition()