Degree Name
MFA (Master of Fine Arts)
Program
Digital Media
Date of Award
5-2026
Committee Chair or Co-Chairs
Todd Emma
Committee Members
Saritdikhun Somasa, Jacy Richardson
Abstract
This study explores the development of 3D scanning workflows focused on transforming raw scan data into high-quality, application-ready digital models. While scanning technologies have advanced significantly, the processes required for cleaning, reconstructing, and optimizing data remain complex and underrepresented. Through a series of applied case studies, this research examines geometry processing, AI-assisted texture enhancement, small artifact scanning workflows, and the integration of LiDAR with 3D Gaussian Splatting (3DGS). Each project emphasizes the decisions, challenges, and techniques used to move from raw capture to final output, highlighting the importance of adapting workflows based on object scale, material properties, and intended use. Findings demonstrate that effective 3D scanning is defined not only by acquisition methods but by the processing pipeline and workflow design. This work contributes a practical, process-oriented framework for 3D scanning that supports applications in cultural heritage, biomedical modeling, and simulation environments.
Document Type
Culminating Experience
Copyright
Copyright by the authors.
Recommended Citation
Garrett, Dakota J., "Utilizing 3D Scanning Workflows for Interdisciplinary Applications: Processing, Optimizing, and Deployment of Digital Models" (2026). Master of Fine Arts in Digital Media Culminating Experience. Paper 27. https://dc.etsu.edu/digitalmedia-culminating-experience/27
