Bento

Dakota Garrett

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

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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