Image Processing for Cultural Heritage Accessibility: Digitizing the Bayeux Tapestry
Overview & Synopsis
This work showcases image processing and computer vision algorithms, in the light of accessibility to cultural heritage artifacts. We emphasize the potential of multimodal 2D image registration and fine-scale 3D-reconstruction techniques, with the aim to ease the work of historians and museum curators, as well as to make artifacts more accessible to the general public or to visually impaired people. This study focuses on the Bayeux Tapestry, a world-famous medieval wool embroidery included in UNESCO's Memory of the World register, and of fundamental importance for both the scientific community and the general public. This exceptional testimony on the society at the eleventh century is both a singular artwork and a historical source on a major event in the history of medieval Europe. Developing state-of-the-art image processing tools for its digitization will ease not only its access, but also its analysis, inspection and reproduction.
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Document Information
| Document Title | Image Processing for Cultural Heritage Accessibility: Digitizing the Bayeux Tapestry |
|---|---|
| Author / Organization | Matthieu Pizenberg, Abderrahim Elmoataz, Yvain Quéau |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2022 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-18881 |
| Original Source Link | Visit Source Page on hal.science » |