Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

Comparative Analysis of Structured Light Scanning and Photogrammetry for 3D Digitization of Costume Collections: Towards a Model for Best Practices

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Comparative Analysis of Structured Light Scanning and Photogrammetry for 3D Digitization of Costume Collections: Towards a Model for Best Practices

Published Date

2022-06

Publisher

Type

Thesis or Dissertation

Abstract

The purpose of this mixed methods study is to develop best practices in workflows and equipment specifications for 3D digitization of costume. Recent advancements in 3D technologies are providing new means of preserving and disseminating cultural and historical collections. However, the comparison of structured light scanning and photogrammetry (structure from motion) for 3D imaging costume has received little attention. This research proposes a model for best practices in 3D imaging costume to advance digitization practices for cultural institutions. A review of the literature discussed previous developments in digitization of costume collections. Research activities were completed in two phases using a mixed methods design. First, structured light scanning and photogrammetry were compared to evaluate the advantages and limitations of both technologies for 3D digitization of costume. One Swedish folk costume and one contemporary blouse were selected as appropriate candidates to evaluate the performance of these technologies. Second, three institutions with costume collections participated in interviews to discuss the feasibility of 3D digitization of costume. Data were analyzed according to qualitative descriptions of 3D model texture, color, and geometry quality. In addition, 3D models were analyzed using descriptive statistics to report metadata and color accuracy. Qualitative interviews were coded using thematic content analysis. The results of the comparative 3D models revealed both technologies had strengths and weakness in capturing an accurate representation of the real object. Structured light scanning delivered high precision of geometry, but had lower resolution of texture and color. By comparison, photogrammetry provided photorealistic texture and color, but lower accuracy of geometry. Both techniques encountered distortions due to challenging materials, such as reflective and dark surfaces. Moreover, neither technology had a greater accuracy capturing the true color of the real object. The results of the qualitative interviews revealed the state of the art in collections digitization may not be positioned for 3D practices just yet. Smaller institutions continue to face significant barriers to 2D digitization, such as funding and access to equipment. While there is interest in 3D digitization, further work needs to be done to establish 3D digitization standards and imaging guidelines. The findings of this study contribute to advancing best practices in 3D digitization of costume collections. The recommendations discuss the feasibility according to accessibility, usability, and performance of 3D scanning and photogrammetry for digital preservation of costume. By expanding the knowledge of 3D imaging techniques for costume collections, best practices in 3D digitization will support institutions in advancing preservation and accessibility for research, teaching, and public programming.

Description

University of Minnesota M.S. thesis. 2022. Major: Design, Housing and Apparel. Advisor: Linsey Griffin. 1 computer file (PDF); 136 pages.

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Other identifiers

Suggested citation

Cloet, Alison. (2022). Comparative Analysis of Structured Light Scanning and Photogrammetry for 3D Digitization of Costume Collections: Towards a Model for Best Practices. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/241566.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.