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Updated: May 24, 2026

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
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Scanning 3D full human bodies using Kinects.

Jing Tong1, Jin Zhou, Ligang Liu

  • 1State Key Laboratory of CAD&CG at Zhejiang University. tongjing.cn@gmail.com

IEEE Transactions on Visualization and Computer Graphics
|March 10, 2012
PubMed
Summary
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This study introduces a low-cost 3D human body scanning system using multiple Microsoft Kinect depth cameras. The novel approach effectively registers non-rigid body parts for creating detailed 3D models suitable for avatars and virtual reality applications.

Area of Science:

  • Computer Vision
  • 3D Reconstruction
  • Human-Computer Interaction

Background:

  • Conventional 3D scanning devices are expensive.
  • Microsoft Kinect depth cameras offer a cheaper alternative but suffer from low-quality depth data at certain distances.
  • Generating high-quality 3D human body models requires overcoming these limitations.

Purpose of the Study:

  • To develop a novel, affordable system for capturing high-quality 3D full human body models.
  • To address the limitations of individual depth cameras, specifically low data quality and interference.
  • To enable practical applications like personalized avatar creation and virtual reality experiences.

Main Methods:

  • Utilizing multiple Microsoft Kinect depth cameras to capture different body parts (upper, lower, middle) to avoid interference.

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  • Implementing a novel registration approach for non-rigid deformation, involving pairwise frame deformation using a rough mesh template.
  • Employing global alignment to distribute errors, efficiently solve loop closure problems, and handle complex occlusions.

    • Main Results:

    • The system successfully captures 3D full human body models with impressive results in minutes.
    • Demonstrated efficiency and applicability of the multi-Kinect scanning system.
    • Achieved accurate registration of body parts despite non-rigid deformations and occlusions.

    Conclusions:

    • The developed system provides a low-cost, practical solution for generating personalized 3D human body models.
    • The system is suitable for everyday users and has potential applications in 3D human animation, virtual try-on, and home-oriented virtual reality.
    • This research facilitates accessible 3D human body modeling using affordable depth sensing technology.