Computer Vision and Historical Scientific Illustrations
Overview & Synopsis
The VHS project (computer Vision and Historical analysis of Scientific illustration circulation) proposes a new approach to the historical study of the circulation of scientific knowledge based on new methods of illustration analysis. Our contributions in this paper are twofold. First, we present a semi-automatic interactive pipeline for scientific illustration extraction that allows and incorporates expert feedback from historians. Second, we introduce a new dataset of scientific illustrations from the Middle Ages to the modern era consisting of 8k illustrations validated by historians and a total number of 235k illustrations obtained from 405k corpora pages. We further discuss our current research for identifying a series of related illustrations from this data.
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Document Information
| Document Title | Computer Vision and Historical Scientific Illustrations |
|---|---|
| Author / Organization | Fouad Aouinti, Zeynep Sonat Baltaci, Mathieu Aubry, Aleksandre Guilbaud, Stavros Lazaris |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2023 |
| 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-92569 |
| Original Source Link | Visit Source Page on hal.science » |