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Utilizing Digital Media for Interdisciplinary Support: 3D Scanning Applications in
 

Dakota Garrett

Master of Fine Arts in Digital Media
Culminating Experience

​East Tennessee State University

Committe: Todd Emma (chair), Jacy Richardson, Saritdikhun Somasa

Cultural Preservation, Biomedical Modeling, and Defense Research

Research Overview

Domains:

  • Cultural Heritage

  • Biomedical

  • Defense

  • Problem: Limited access to high-quality 3D digitization workflows

  • Goal: Develop scalable, interdisciplinary 3D scanning pipeline

Research Questions

  • How can 3D scanning workflows be standardized across disciplines?

  • What factors influence scan quality and usability?

  • How can outputs support real-world applications?

Technologies Used

  • Structured Light 

  • Blue Laser 

  • LiDAR 

  • Photogrammetry

  • Gaussian Splatting 

  • Einstar handheld

  • Einstar Rockit

  • Einscan SE v2

  • Goal: Develop scalable, interdisciplinary 3D scanning pipeline

Hardware Evaluated

Software Incorporated

  • Creality Raptor

  • Eagle LiDAR

  • 360 Cameras

2. Reconstruction

1. Data Acquisition

3. Optimization

4. Deployment

5. Outcomes

4 Phase Workflow

Methodological Framework

Key Challenge Areas

  • Reflective / transparent materials

  • Low-feature surfaces

  • Scale variation

  • Data size (20–100GB raw scans)

  • Alignment complexity

Case Studies

Case Studies

Case Studies

System Integration

  • Web-based viewers (Smithsonian Voyager, Marmoset, etc.)

  • AWS / web hosting pipelines

  • Unreal Engine integration

  • 3D printing validation

Key Findings

  • No universal workflow

  • Method selection is context-driven

  • Optimization is as critical as acquisition

Contributions

  • Developed scalable 3D scanning workflow

  • Enabled interdisciplinary research support

  • Produced deployable digital assets

  • Established foundation for future work

Limitations

  • Time constraints

  • Equipment variability

  • Processing limitations

  • Viewer integration challenges

Future Work

  • Expanded automation pipelines

  • Gaussian splatting integration

  • Real-time simulation pipelines

  • Defense training applications

Conclusion

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Questions

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