Modules | TS

Remesh

Decimation and isotropic remeshing.

The Remesh module provides tools for modifying triangle mesh resolution: reducing face count through decimation, or redistributing vertices through isotropic remeshing.

All remesh functions require triangle meshes (3 vertices per face) and 3D coordinates. Use tf.triangulate from the Geometry module to convert polygon meshes first.
All remesh operations use parallel execution by default. Set parallel: false for sequential execution (e.g. when processing many meshes in parallel externally).
All edge length decisions (split thresholds, collapse thresholds, max edge length checks) respect the Meshtransformation. When a Mesh has a transformation, lengths are measured in the transformed coordinate space. This allows remeshing a scaled or rotated mesh without modifying vertex data.

Decimation

Reduce face count using quadric error metrics. The algorithm collapses edges in priority order, placing the new vertex at the position that minimizes geometric error.

Basic Usage

import * as tf from "@polydera/trueform";

const mesh = tf.readStl("model.stl");

// Decimate to 10% of original faces
const decimated = tf.decimated(mesh, 0.1);

With Configuration

const decimated = tf.decimated(mesh, 0.1, {
  preserveBoundary: true,
  maxAspectRatio: 20.0,
  parallel: false,
});
ParameterTypeDefaultDescription
mMeshTriangle mesh
targetProportionnumberTarget face count as fraction of original (0.0–1.0)
opts.maxAspectRationumber40Maximum triangle aspect ratio after collapse. Negative to disable
opts.preserveBoundarybooleanfalseIf true, boundary edges are never collapsed
opts.stabilizernumber1e-3Tikhonov stabilizer for quadric solve
opts.parallelbooleantrueUse parallel partitioned collapse

Returns a new Mesh.

Isotropic Remeshing

Redistribute vertices to achieve uniform edge lengths. Each iteration splits long edges, collapses short edges, flips edges to improve valence, and relaxes vertex positions tangentially.

Basic Usage

import * as tf from "@polydera/trueform";

const mesh = tf.readStl("model.stl");

// Remesh to target edge length
const mel = tf.meanEdgeLength(mesh);
const remeshed = tf.isotropicRemeshed(mesh, 2.0 * mel);

With Configuration

const remeshed = tf.isotropicRemeshed(mesh, 0.02, {
  iterations: 5,
  relaxationIters: 5,
  preserveBoundary: true,
  useQuadric: true,
});
ParameterTypeDefaultDescription
mMeshTriangle mesh
targetLengthnumberTarget edge length. Longer edges are split, shorter are collapsed
opts.iterationsnumber3Number of outer iterations (split + collapse + flip + relax)
opts.relaxationItersnumber3Tangential relaxation iterations per outer iteration
opts.maxAspectRationumber-1Maximum aspect ratio after collapse. Negative to disable
opts.lambdanumber0.5Damping factor for tangential relaxation in (0, 1]
opts.preserveBoundarybooleanfalseIf true, boundary edges are never split or collapsed
opts.useQuadricbooleanfalseUse quadric error metric for collapse vertex placement
opts.parallelbooleantrueUse parallel execution

Returns a new Mesh.

Typical Pipeline

A common workflow is to decimate first, then isotropic remesh to improve triangle quality:

import * as tf from "@polydera/trueform";

const mesh = tf.readStl("model.stl");

// Decimate to 5%
const dec = tf.decimated(mesh, 0.05);

// Isotropic remesh to mean edge length of decimated result
const mel = tf.meanEdgeLength(dec);
const result = tf.isotropicRemeshed(dec, mel, { useQuadric: true });
Use tf.meanEdgeLength to compute a natural target length from the current mesh. This is often the right default for isotropic remeshing after decimation.

Async

All remesh functions are available as async variants via tf.async for off-main-thread execution:

const dec = await tf.async.decimated(mesh, 0.1);
const rem = await tf.async.isotropicRemeshed(mesh, 0.02);