case class PointsWithLikelyCorrespondenceSampler(gp: GaussianProcess[_3D, EuclideanVector[_3D]], refmesh: TriangleMesh[_3D], targetMesh: TriangleMesh[_3D], maxMd: Double) extends Sampler[_3D] with Product with Serializable
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- new PointsWithLikelyCorrespondenceSampler(gp: GaussianProcess[_3D, EuclideanVector[_3D]], refmesh: TriangleMesh[_3D], targetMesh: TriangleMesh[_3D], maxMd: Double)
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- val gp: GaussianProcess[_3D, EuclideanVector[_3D]]
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- val maxMd: Double
- val meanPts: Iterator[Point[_3D]]
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- val numberOfPoints: Int
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- PointsWithLikelyCorrespondenceSampler → Sampler
- def productElementNames: Iterator[String]
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- Product
- val pts: IndexedSeq[(Point[_3D], Double)]
- val ptsWithDist: ParVector[(Point[_3D], Double)]
- val refmesh: TriangleMesh[_3D]
- def sample(): IndexedSeq[(Point[_3D], Double)]
sample n points (x_1, ...
sample n points (x_1, ... x_n), yielding an sequence of (x_i, p(x_i)), i=1..n , p is the probability density function according to which the points are sampled
- Definition Classes
- PointsWithLikelyCorrespondenceSampler → Sampler
- final def synchronized[T0](arg0: => T0): T0
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- val targetMesh: TriangleMesh[_3D]
- val volumeOfSampleRegion: Double
- Definition Classes
- PointsWithLikelyCorrespondenceSampler → Sampler
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