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A semi-automatic image-based close range 3D modeling pipeline using a multi-camera configuration.

Jiann-Yeou Rau1, Po-Chia Yeh

  • 1Department of Geomatics, National Cheng-Kung University, No.1, University Road, Tainan 701, Taiwan. jyrau@mail.ncku.edu.tw

Sensors (Basel, Switzerland)
|November 1, 2012
PubMed
Summary

This study introduces a marker-free, image-based 3D modeling pipeline for cultural heritage. The system uses a calibrated multi-camera setup for automated, high-accuracy 3D reconstruction of objects.

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Area of Science:

  • Computer Vision
  • 3D Modeling
  • Cultural Heritage Preservation

Background:

  • Digital recording of cultural heritage is crucial.
  • Existing 3D modeling methods may require markers or complex calibration.
  • Automated, accurate, and low-cost solutions are needed.

Purpose of the Study:

  • To propose a novel, marker-free, image-based 3D modeling pipeline.
  • To achieve automated and accurate 3D reconstruction of cultural heritage objects.
  • To demonstrate the system's feasibility and cost-effectiveness.

Main Methods:

  • Utilized a multi-camera configuration with fixed, invariant relative orientations.
  • Employed a multi-image matching technique without requiring object markers.
  • Implemented automatic calibration to estimate exterior orientation parameters using coded targets.
Keywords:
image-based 3D modelingmulti-camera frameworkmulti-image matching

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  • Applied calibrated parameters for subsequent surface point cloud generation.

    • Main Results:

    • Achieved fully automated 3D modeling pipeline after initial calibration.
    • Demonstrated feasibility with diverse objects including human, statues, and sculptures.
    • Obtained high accuracy for a stone sculpture: 0.26 mm absolute and 1:17,333 relative accuracy compared to an active scanner.

    Conclusions:

    • The proposed low-cost, image-based 3D modeling pipeline is feasible.
    • The system offers high accuracy suitable for digitizing museum collections.
    • Marker-free, automated 3D reconstruction is achievable for cultural heritage.