A Computational Approach to Hand Pose Recognition in Early Modern Paintings.

ABSTRACT: Hands represent an important aspect of pictorial narration but have rarely been addressed as an object of study in art history and digital humanities. Although hand gestures play a significant role in conveying emotions, narratives, and cultural symbolism in the context of visual art, a comprehensive terminology for the classification of depicted hand poses is still lacking. In this article, we present the process of creating a new annotated dataset of pictorial hand poses. The dataset is based on a collection of European early modern paintings, from which hands are extracted using human pose estimation (HPE) methods. The hand images are then manually annotated based on art historical categorization schemes. From this categorization, we introduce a new classification task and perform a ser

SUBMITTER: Bernasconi V 

PROVIDER: S-EPMC10299537 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature