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Packages that use Filter | |
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Facemorph | |
Facemorph.psm | |
Facemorph.psychomorph | |
Facemorph.Stats |
Uses of Filter in Facemorph |
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Methods in Facemorph with parameters of type Filter | |
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static java.awt.Image |
Transformer.averageImagesTexture(java.awt.Image[] images,
Template[] templates,
Template averageTemplate,
int outW,
int outH,
Filter[] filters,
int bm,
java.awt.image.ImageObserver obs,
boolean autoSize,
int normalisation)
Method to create an average from a set of delineated images. |
static java.awt.Image |
Transformer.averageImagesTexture(java.awt.Image[] images,
Template[] templates,
Template averageTemplate,
int outW,
int outH,
Filter[] filters,
int bm,
java.awt.image.ImageObserver obs,
boolean autoSize,
int normalisation,
TransformerListener warpListener,
TransformerListener averageListener)
Method to create an average from a set of delineated images. |
void |
Pyramid.build_pyramid(Filter H,
Filter G,
int levs)
Build a Pyramid |
void |
Pyramid.collapse_pyramid(Filter H,
Filter L1,
Filter K1,
Filter L2,
Filter K2,
int bm)
Collapse the Pyramid |
void |
Pyramid.convolve(Filter H)
Filter all subbands |
int |
FloatImage.MultiscaleBlendWaveletMRF_fast2(java.util.ArrayList<FloatImage> source,
int count,
int lev,
Filter H,
Filter G,
Filter H2,
Filter K1,
Filter K2,
Filter L1,
Filter L2)
Blends a set of greyscale images using a multiscale MRF method Algorithm for each source image calculate the low pass version (save for pass to recursive call), calculate the horizontal and vertical wavelet filtered versions, Calculate the low pass version of the input image via recursive call Estimate the horizontal and vertical images using MRF method on wavelet & low pass images Reconstruct image using low-pass and horizontal & vertical wavelets |
int |
FloatImage.MultiscaleTransformWaveletMRF_fast2(FloatImage original,
java.util.ArrayList<FloatImage> source,
java.util.ArrayList<FloatImage> target,
int lev,
Filter H,
Filter G,
Filter H2,
Filter K1,
Filter K2,
Filter L1,
Filter L2)
Algorithm for each source image calculate the low pass version (save for pass to recursive call), calculate the horizontal and vertical wavelet filtered versions, Calculate the low pass version of the input image via recursive call Estimate the horizontal and vertical images using MRF method on wavelet & low pass images Reconstruct image using low-pass and horizontal & vertical wavelets |
static java.awt.image.BufferedImage |
Transformer.testTransform(int warpType,
Template subTem,
Template srcTem,
Template dstTem,
Template outTem,
java.awt.image.BufferedImage subImg,
java.awt.image.BufferedImage srcImg,
java.awt.image.BufferedImage dstImg,
double shapeAmount,
double colourAmount,
double textureAmount,
Filter[] filters,
int bm,
MaskInterface mask,
boolean samples,
boolean borders,
boolean matchCols,
int normalisation,
int[] normPoints)
Face transform method, more modular version |
static java.awt.image.BufferedImage |
Transformer.testTransform(int warpType,
Template subTem,
Template srcTem,
Template dstTem,
Template outTem,
java.awt.Image subImg,
java.awt.Image srcImg,
java.awt.Image dstImg,
double shapeAmount,
double colourAmount,
double textureAmount,
Filter[] filters,
int bm,
MaskInterface mask,
boolean samples,
boolean borders,
boolean matchCols,
int normalisation,
int[] normPoints)
Face transform method, more modular version |
static java.awt.image.BufferedImage |
Transformer.textureTransform(java.awt.image.BufferedImage orig,
java.awt.image.BufferedImage sub,
java.awt.image.BufferedImage src,
java.awt.image.BufferedImage dst,
Filter[] filters,
int bm,
double amount)
Performs a texture (wavelet magnitude) transform on the image |
static java.awt.Image |
Transformer.transform(Template subjectTemplate,
Template sourceTemplate,
Template destTemplate,
Template newTemplate,
java.awt.Image subjectImg,
java.awt.Image sourceImg,
java.awt.Image destImg,
double shape,
double colour,
double texture,
java.awt.image.ImageObserver ob,
MaskInterface mask,
Filter[] filters,
int bm,
boolean fast,
boolean conts)
Transforms subjectImage using the prototypes given and returns the result. |
Uses of Filter in Facemorph.psm |
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Methods in Facemorph.psm with parameters of type Filter | |
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void |
SteerablePyramid.buildPyramid(FloatImage fimg,
java.util.ArrayList<Filter> filters,
Filter lowpassFilter,
int maxLev)
Build a pyramid from and image |
static PSM |
PSM.train(java.util.ArrayList<java.lang.String> imageNames,
java.util.ArrayList<java.lang.String> templateNames,
int[] pointList,
int w,
java.util.ArrayList<Filter> filters,
Filter lowpass,
int maxLev)
PSM training method |
Method parameters in Facemorph.psm with type arguments of type Filter | |
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void |
SteerablePyramid.buildPyramid(FloatImage fimg,
java.util.ArrayList<Filter> filters,
Filter lowpassFilter,
int maxLev)
Build a pyramid from and image |
static PSM |
PSM.train(java.util.ArrayList<java.lang.String> imageNames,
java.util.ArrayList<java.lang.String> templateNames,
int[] pointList,
int w,
java.util.ArrayList<Filter> filters,
Filter lowpass,
int maxLev)
PSM training method |
Constructors in Facemorph.psm with parameters of type Filter | |
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PSM(int start,
BigMat mst,
DiagonalGMM[] appGauss,
DiagonalGaussian[] gauss,
boolean[] visited,
java.util.ArrayList<Filter> filters,
Filter lowpass,
int w,
int h,
int levs)
PSM constructor |
Constructor parameters in Facemorph.psm with type arguments of type Filter | |
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PSM(int start,
BigMat mst,
DiagonalGMM[] appGauss,
DiagonalGaussian[] gauss,
boolean[] visited,
java.util.ArrayList<Filter> filters,
Filter lowpass,
int w,
int h,
int levs)
PSM constructor |
Uses of Filter in Facemorph.psychomorph |
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Methods in Facemorph.psychomorph that return Filter | |
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Filter[] |
PsychoMorphForm.getFilters()
Get the filters used for wavelet stuff (averaging, transforms, MRF etc) |
Uses of Filter in Facemorph.Stats |
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Fields in Facemorph.Stats declared as Filter | |
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protected Filter[] |
WaveletPLS.filters
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protected Filter[] |
WaveletRGBPLS.filters
|
protected Filter |
WaveletPLS.G
A set of filters for Gaussian |
protected Filter |
WaveletRGBPLS.G
A set of filters for Gaussian |
protected Filter |
WaveletPLS.H1
A set of filters for Gaussian |
protected Filter |
WaveletRGBPLS.H1
A set of filters for Gaussian |
protected Filter |
WaveletPLS.H2
A set of filters for Gaussian |
protected Filter |
WaveletRGBPLS.H2
A set of filters for Gaussian |
protected Filter |
WaveletPLS.K1
A set of filters for Gaussian |
protected Filter |
WaveletRGBPLS.K1
A set of filters for Gaussian |
protected Filter |
WaveletPLS.K2
A set of filters for Gaussian |
protected Filter |
WaveletRGBPLS.K2
A set of filters for Gaussian |
protected Filter |
WaveletPLS.L1
A set of filters for Gaussian |
protected Filter |
WaveletRGBPLS.L1
A set of filters for Gaussian |
protected Filter |
WaveletPLS.L2
A set of filters for Gaussian |
protected Filter |
WaveletRGBPLS.L2
A set of filters for Gaussian |
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