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May 6, 2026Computer Graphics ForumOpen Access

Contouring Signed Distance Fields by Approximating Gradients

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Authors

MKM. KohlbrennerMAM. Alexa

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Overview

This approach demonstrates improved surface reconstruction from signed distance fields' contour in 2D grids, suggesting approximation algorithms offer significant speed and accuracy benefits.

Key Points

  • The aim is to develop a fast and effective contouring algorithm for signed distance fields by approximating gradients.
  • Implemented an approximation algorithm exploiting gradient information from distance samples.
  • Used tessellation with regular triangulation to filter surface points.
  • Generated potential surface points based on distance and gradient values.
  • The algorithm produces reconstructions comparable to existing methods.
  • Significantly faster than traditional contouring techniques.
  • Surface points are accurately filtered to improve precision.

Cite This Study

Kohlbrenner et al. (2026) studied this question.

synapsesocial.com/papers/69fa8eca04f884e66b5313ddhttps://doi.org/10.1111/cgf.70373
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Reach for the Arcs: Reconstructing Surfaces from SDFs via Tangent Points2024 · 3 citations
  2. 2<scp>ACL</scp> ‐ <scp>UDF</scp> : Asymptotically Consistent Learning of Unsigned Distance Fields for Surface Reconstruction2026
  3. 3A Heat Method for Generalized Signed Distance2024 · 8 citations
  4. 4Points as Tori: Fast Pointwise Signed Distance for Point Clouds2026 · 1 citations
  5. 5Meshing Unsigned Distance Fields with Regular Triangulations2026