ppf_match_3d_samplePCByQuantization

surface_matchingfunctionOpenCV 5.0.0

import { ppf_match_3d_samplePCByQuantization } from '@banou/opencv-wasm'

Use after await initOpenCV(). See the initialization and named imports guide.

ARGUMENTSpc, xrange, yrange, zrange

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FUNCTIONppf_match_3d_samplePCByQuantization

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RETURN TYPEMat

Call structure. A void return can still write to destination arguments. The parameter descriptions define inputs, outputs and ownership.

Sample a point cloud using uniform steps

ppf_match_3d_samplePCByQuantization(pc: Mat, xrange: Vec2f, yrange: Vec2f, zrange: Vec2f, sample_step_relative: number, weightByCenter: number): Mat;

2 available overloads

ppf_match_3d_samplePCByQuantization(pc: Mat, xrange: Vec2f, yrange: Vec2f, zrange: Vec2f, sample_step_relative: number): Mat;

ppf_match_3d_samplePCByQuantization(pc: Mat, xrange: Vec2f, yrange: Vec2f, zrange: Vec2f, sample_step_relative: number, weightByCenter: number): Mat;

pc

Input point cloud

xrange

X components (min and max) of the bounding box of the model

yrange

Y components (min and max) of the bounding box of the model

zrange

Z components (min and max) of the bounding box of the model

sample_step_relative

The point cloud is sampled such that all points have a certain minimum distance. This minimum distance is determined relatively using the parameter sample_step_relative.

weightByCenter

The contribution of the quantized data points can be weighted by the distance to the origin. This parameter enables/disables the use of weighting.

Returns

Sampled point cloud Release returned native handles with using or delete(), including handles nested in results.

Upstream declaration ↗

These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.