boofcv.alg.flow

Class DenseFlowPyramidBase<T extends boofcv.struct.image.ImageGray>

java.lang.Object

boofcv.alg.flow.DenseFlowPyramidBase<T>

Direct Known Subclasses:

BroxWarpingSpacial, HornSchunckPyramid

public abstract class DenseFlowPyramidBase<T extends boofcv.struct.image.ImageGray>
extends java.lang.Object

Base class for pyramidal dense flow algorithms based on IPOL papers.

Field Summary

Fields

Modifier and Type	Field and Description
protected boofcv.alg.interpolate.InterpolatePixelS<boofcv.struct.image.GrayF32>	interp
protected boofcv.struct.pyramid.PyramidFloat<boofcv.struct.image.GrayF32>	pyr1
protected boofcv.struct.pyramid.PyramidFloat<boofcv.struct.image.GrayF32>	pyr2

Constructor Summary

Constructors

Constructor and Description
DenseFlowPyramidBase(double scale, double sigma, int maxLayers, boofcv.alg.interpolate.InterpolatePixelS<boofcv.struct.image.GrayF32> interp)

Method Summary

Modifier and Type	Method and Description
protected static <T extends boofcv.struct.image.ImageGray> void	imageNormalization(T image1, T image2, boofcv.struct.image.GrayF32 normalized1, boofcv.struct.image.GrayF32 normalized2) Function to normalize the images between 0 and 255.
protected void	interpolateFlowScale(boofcv.struct.image.GrayF32 prev, boofcv.struct.image.GrayF32 curr) Takes the flow from the previous lower resolution layer and uses it to initialize the flow in the current layer.
abstract void	process(boofcv.struct.pyramid.ImagePyramid<boofcv.struct.image.GrayF32> image1, boofcv.struct.pyramid.ImagePyramid<boofcv.struct.image.GrayF32> image2) Computes dense optical flow from the provided image pyramid.
void	process(T image1, T image2) Processes the raw input images.
protected void	warpImageTaylor(boofcv.struct.image.GrayF32 before, boofcv.struct.image.GrayF32 flowX, boofcv.struct.image.GrayF32 flowY, boofcv.struct.image.GrayF32 after) Takes the flow from the previous lower resolution layer and uses it to initialize the flow in the current layer.

Methods inherited from class java.lang.Object

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

Field Detail

pyr1

protected boofcv.struct.pyramid.PyramidFloat<boofcv.struct.image.GrayF32> pyr1

pyr2

protected boofcv.struct.pyramid.PyramidFloat<boofcv.struct.image.GrayF32> pyr2

interp

protected boofcv.alg.interpolate.InterpolatePixelS<boofcv.struct.image.GrayF32> interp

Constructor Detail

DenseFlowPyramidBase

public DenseFlowPyramidBase(double scale,
                            double sigma,
                            int maxLayers,
                            boofcv.alg.interpolate.InterpolatePixelS<boofcv.struct.image.GrayF32> interp)

Method Detail

process

public void process(T image1,
                    T image2)

Processes the raw input images. Normalizes them and creates image pyramids from them.

interpolateFlowScale

protected void interpolateFlowScale(boofcv.struct.image.GrayF32 prev,
                                    boofcv.struct.image.GrayF32 curr)

Takes the flow from the previous lower resolution layer and uses it to initialize the flow in the current layer. Adjusts for change in image scale.

warpImageTaylor

protected void warpImageTaylor(boofcv.struct.image.GrayF32 before,
                               boofcv.struct.image.GrayF32 flowX,
                               boofcv.struct.image.GrayF32 flowY,
                               boofcv.struct.image.GrayF32 after)

Takes the flow from the previous lower resolution layer and uses it to initialize the flow in the current layer. Adjusts for change in image scale.

process

public abstract void process(boofcv.struct.pyramid.ImagePyramid<boofcv.struct.image.GrayF32> image1,
                             boofcv.struct.pyramid.ImagePyramid<boofcv.struct.image.GrayF32> image2)

Computes dense optical flow from the provided image pyramid. Image gradient for each layer should be computed directly from the layer images.

Parameters:

image1 - Pyramid of first image

image2 - Pyramid of second image

imageNormalization

protected static <T extends boofcv.struct.image.ImageGray> void imageNormalization(T image1,
                                                                                   T image2,
                                                                                   boofcv.struct.image.GrayF32 normalized1,
                                                                                   boofcv.struct.image.GrayF32 normalized2)

Function to normalize the images between 0 and 255.