March 14, 2024, 4:46 a.m. | Syrine Kalleli, Scott Trigg, S\'egol\`ene Albouy, Mathieu Husson, Mathieu Aubry

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.08721v1 Announce Type: new
Abstract: Automatically extracting the geometric content from the hundreds of thousands of diagrams drawn in historical manuscripts would enable historians to study the diffusion of astronomical knowledge on a global scale. However, state-of-the-art vectorization methods, often designed to tackle modern data, are not adapted to the complexity and diversity of historical astronomical diagrams. Our contribution is thus twofold. First, we introduce a unique dataset of 303 astronomical diagrams from diverse traditions, ranging from the XIIth to …

abstract art arxiv complexity cs.cv data diagrams diffusion diversity global however knowledge modern scale state study type vectorization

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