Class/Object

scalismo.faces.sampling.face.evaluators

CollectiveLikelihoodEvaluator

Related Docs: object CollectiveLikelihoodEvaluator | package evaluators

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class CollectiveLikelihoodEvaluator extends PairEvaluator[PixelImage[RGBA]]

Collective Likelihood: models the average squared distance of images as normal (valid for many pixels, large averages: Central Limit Theorem) for Details see "Markov Chain Monte Carlo for Automated Face Image Analysis" in IJCV 2016

Linear Supertypes
PairEvaluator[PixelImage[RGBA]], AnyRef, Any
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  1. CollectiveLikelihoodEvaluator
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Visibility
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Instance Constructors

  1. new CollectiveLikelihoodEvaluator(sigma: Double, relativeVariance: Double)

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    sigma

    expected standard deviation between image and target pixels (noise assumption, total RMS distance), sigma2 = E[d2]

    relativeVariance

    variance of squared differences, in relative units of sigma^4

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @HotSpotIntrinsicCandidate() @throws( ... )

  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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    AnyRef → Any

  8. final def getClass(): Class[_]

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    @HotSpotIntrinsicCandidate()

  9. def hashCode(): Int

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    AnyRef → Any
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    @HotSpotIntrinsicCandidate()

  10. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  11. def logValue(reference: PixelImage[RGBA], sample: PixelImage[RGBA]): Double

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    Definition Classes
    CollectiveLikelihoodEvaluator → PairEvaluator

  12. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  13. final def notify(): Unit

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    AnyRef
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    @HotSpotIntrinsicCandidate()

  14. final def notifyAll(): Unit

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    @HotSpotIntrinsicCandidate()

  15. val relativeVariance: Double

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    variance of squared differences, in relative units of sigma^4

  16. val sigma: Double

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    expected standard deviation between image and target pixels (noise assumption, total RMS distance), sigma2 = E[d2]

  17. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  18. def toDistributionEvaluator(first: PixelImage[RGBA]): DistributionEvaluator[PixelImage[RGBA]]

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    Definition Classes
    PairEvaluator

  19. def toString(): String

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    Definition Classes
    CollectiveLikelihoodEvaluator → AnyRef → Any

  20. def tupled: DistributionEvaluator[(PixelImage[RGBA], PixelImage[RGBA])]

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    Definition Classes
    PairEvaluator

  21. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )

  22. final def wait(arg0: Long): Unit

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    @throws( ... )

  23. final def wait(): Unit

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    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit

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    protected[java.lang]
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    @Deprecated @deprecated @throws( classOf[java.lang.Throwable] )
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

Inherited from PairEvaluator[PixelImage[RGBA]]

Inherited from AnyRef

Inherited from Any

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