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Related Experiment Videos

A functional-based segmentation of human body scans in arbitrary postures.

Naoufel Werghi1, Yijun Xiao, Jan Paul Siebert

  • 1College of Information Technology, Dubai University College, United Arab Emirates. nwerghi@duc.ac.ae

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 14, 2006
PubMed
Summary

This study introduces a robust framework for segmenting 3-D human body scans into functional parts. The algorithm effectively handles various postures and data imperfections for accurate anthropometric measurements.

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Area of Science:

  • Computer Vision
  • Medical Imaging
  • Biomedical Engineering

Background:

  • 3-D human body scanning technology captures detailed anatomical data.
  • Automated segmentation of 3-D scans is crucial for applications like anthropometric database creation.
  • Existing segmentation methods are limited by posture constraints and data artifacts.

Purpose of the Study:

  • To develop a general framework for segmenting 3-D human body scan data into functional body parts.
  • To overcome limitations of previous methods, including posture dependency and vulnerability to scan data artifacts.
  • To enable automated extraction of key body measurements for industrial applications.

Main Methods:

  • A novel algorithm for segmenting articulated and deformable human body shapes from 3-D scan data.

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  • The framework is designed to be robust to noise, holes, irregular sampling, and rigid transformations.
  • Validation using both real and synthetic 3-D human body scan datasets.

    • Main Results:

    • The proposed framework successfully segments 3-D human body scans into functional body parts.
    • The algorithm demonstrates robustness across various body postures and is resilient to common scan data imperfections.
    • Experimental results confirm the validity and effectiveness of the human body segmentation approach.

    Conclusions:

    • The developed framework significantly advances the state of the art in automated 3-D human body scan segmentation.
    • This approach facilitates the automated production of anthropometric data, benefiting industries like clothing design.
    • The robustness and effectiveness of the method are validated through comprehensive experiments.