generate_normal_complex_fixed: Generate Kernel interpolated meshes.

In lcrawlab/SINATRA: Sub Image Analysis using Topological Summary Statistics (SINATRA)

Generate Kernel interpolated meshes.

Description

Given a set of input data of shared points and causal points, the function generates two classes of interpolated 3d shapes with a specified kernel.

Usage

generate_normal_complex_fixed(
  grid_size = 25,
  noise_points,
  causal_points1,
  causal_points2,
  func = rbf_gauss,
  eta = 5
)

Arguments

grid_size	(int) : The fineness of the grid for which the interpolation is on.
noise_points	(matrix) : Matrix of points to be shared across both classees of shapes.
causal_points1	(matrix) : Matrix of points unique to class 1.
causal_points2	(matrix) : Matrix of points unique to class 2.
func	(function) : The function used for the kernel interpolation.
eta	(float) : The shape paramter for the kernel.

Value

complex (list) : List of data containing the mesh versions of the interpolated shapes, causal points, and the shared points.

lcrawlab/SINATRA documentation built on Sept. 13, 2023, 2 p.m.