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Updated: Feb 19, 2026

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A functional pipeline framework for landmark identification on 3D surface extracted from volumetric data.

Pan Zheng1,2, Bahari Belaton2, Iman Yi Liao3

  • 1Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia.

Plos One
|November 10, 2017
PubMed
Summary

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This study introduces a novel framework for generating surface landmarks from volumetric data. The three-phase pipeline effectively extracts key geometric features for enhanced data analysis.

Area of Science:

  • Computer Graphics
  • Geometric Modeling
  • Data Analysis

Background:

  • Landmarks are crucial geometry primitives for surface characterization.
  • Extracting reliable landmarks from volumetric data presents significant challenges.

Purpose of the Study:

  • To propose a self-contained, modular framework for generating surface landmarks from volumetric data.
  • To investigate, extend, and tailor existing methods for each phase of the landmark generation pipeline.

Main Methods:

  • A three-phase pipeline: surface construction (extended implicit surface polygonizer), crest line extraction (alternative gradient computation), and landmark identification (curvature and K-means clustering).
  • The framework processes 3D raw volumetric data to produce 0D geometry features (landmarks).

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Last Updated: Feb 19, 2026

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Main Results:

  • Successful implementation and validation of the framework on synthetic and real-world datasets of varying scales.
  • Demonstrated the modularity and functionality of each pipeline phase.

Conclusions:

  • The proposed framework provides a robust method for automated landmark generation from volumetric data.
  • The tailored methods within the pipeline enhance the accuracy and efficiency of feature extraction.