Abstract
This article introduces an innovative approach to analyzing Purépecha petroglyphs through interdisciplinary collaboration between computer vision and archaeology. The research addresses the practical needs of archaeologists and scholars who require critical support for searching and recovering collections of ancient Purépecha images. The paper begins by providing an overview of the interdisciplinary approach aimed at enhancing the documentation, analysis, and preservation of Purépecha pictographic data. Subsequently, it presents an objective evaluation of the contextual descriptor's performance in image retrieval tasks, utilizing a set of 14 images featuring Purépecha petroglyphs. In summary, the proposed approach shows promise by enhancing performance in retrieval tasks and can be validated from an epigraphic perspective, offering the potential for novel insights in archaeology and practical solutions for academia.
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