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scalismo.faces.sampling.face.evaluators

LandmarkPointEvaluator

Related Docs: class LandmarkPointEvaluator | package evaluators

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object LandmarkPointEvaluator

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  4. def apply(targetLandmarks: Seq[TLMSLandmark2D], pointEvaluator: PairEvaluator[Point[_2D]], landmarksRenderer: ParametricLandmarksRenderer): DistributionEvaluator[RenderParameter]

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    construct many independent landmark evaluators with the same point noise model

  5. def apply(targetLandmark: TLMSLandmark2D, pointEvaluator: PairEvaluator[Point[_2D]], landmarksRenderer: ParametricLandmarksRenderer): LandmarkPointEvaluator

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    construct a single landmark evaluator with the provided noise model

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  13. def isotropicGaussian(targetLandmarks: Seq[TLMSLandmark2D], sdev: Double, landmarksRenderer: ParametricLandmarksRenderer): DistributionEvaluator[RenderParameter]

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    construction of an isotropic Gaussian likelihood for a set of landmarks encapsulates the general PairEvaluator for this explicit, very common case

    construction of an isotropic Gaussian likelihood for a set of landmarks encapsulates the general PairEvaluator for this explicit, very common case

    targetLandmarks

    all observed target landmarks, calculates likelihood of these positions under rendered model (product, independence assumption)

    sdev

    standard deviation of isotropic Gaussian, typically in pixels (TLMS refers to image locations)

    landmarksRenderer

    renderer to generate instance

  14. def isotropicGaussian(targetLandmark: TLMSLandmark2D, sdev: Double, landmarksRenderer: ParametricLandmarksRenderer): LandmarkPointEvaluator

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    construction of an isotropic Gaussian likelihood for a single landmark encapsulates the general PairEvaluator for this explicit, very common case

    construction of an isotropic Gaussian likelihood for a single landmark encapsulates the general PairEvaluator for this explicit, very common case

    targetLandmark

    the observed target landmark, calculates likelihood of this position under rendered model

    sdev

    standard deviation of isotropic Gaussian, typically in pixels (TLMS refers to image locations)

    landmarksRenderer

    renderer to generate instance

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    (Since version ) see corresponding Javadoc for more information.

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