org.openimaj.image.processing.face.feature.ltp

Class GaussianWeighting

java.lang.Object

org.openimaj.image.processing.face.feature.ltp.GaussianWeighting

All Implemented Interfaces:

LTPWeighting, ReadableBinary, ReadWriteableBinary, WriteableBinary

@Reference(type=Article,
           author={"Tan, Xiaoyang","Triggs, Bill"},
           title="Enhanced local texture feature sets for face recognition under difficult lighting conditions",
           year="2010",
           journal="Trans. Img. Proc.",
           pages={"1635","1650"},
           url="http://dx.doi.org/10.1109/TIP.2010.2042645",
           month="June",
           number="6",
           publisher="IEEE Press",
           volume="19")
public class GaussianWeighting
extends Object
implements LTPWeighting

A Gaussian LTPWeighting function.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
GaussianWeighting() Construct with a default standard deviation of 3.0
GaussianWeighting(float sigma) Construct with the given standard deviation

Method Summary

Modifier and Type	Method and Description
byte[]	binaryHeader() Header for binary input.
void	readBinary(DataInput in) Read internal state from in.
String	toString()
float	weightDistance(float distance) Determine the weighting scheme for the distances produced by the EuclideanDistanceTransform.
void	writeBinary(DataOutput out) Write the content of this as binary to out.

Methods inherited from class java.lang.Object

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

Constructor Detail

GaussianWeighting

public GaussianWeighting()

Construct with a default standard deviation of 3.0

GaussianWeighting

public GaussianWeighting(float sigma)

Construct with the given standard deviation

Parameters:

sigma - the standard deviation

Method Detail

weightDistance

public float weightDistance(float distance)

Description copied from interface: LTPWeighting

Determine the weighting scheme for the distances produced by the EuclideanDistanceTransform.

Specified by:

weightDistance in interface LTPWeighting

Parameters:

distance - the unweighted distance in pixels

Returns:

the weighted distance

readBinary

public void readBinary(DataInput in)
                throws IOException

Description copied from interface: ReadableBinary

Read internal state from in.

Specified by:

readBinary in interface ReadableBinary

Parameters:

in - source to read from.

Throws:

IOException - an error reading input

binaryHeader

public byte[] binaryHeader()

Description copied from interface: ReadableBinary

Header for binary input. Will be automatically read by IOUtils when using readBinary().

Specified by:

binaryHeader in interface ReadableBinary

Specified by:

binaryHeader in interface WriteableBinary

Returns:

header

writeBinary

public void writeBinary(DataOutput out)
                 throws IOException

Description copied from interface: WriteableBinary

Write the content of this as binary to out.

Specified by:

writeBinary in interface WriteableBinary

Parameters:

out - sink to write to

Throws:

IOException - an error writing to out

toString

public String toString()

Overrides:

toString in class Object