Similar paintings retrieval from individual and multiple poses

This paper introduces an approach for retrieving similar paintings in terms of poses of the characters depicted within them. The key contributions are a method to extract and normalize individual character poses, the development of several criteria to compare groups of poses across paintings, and the integration of these criteria into a unified ranking system to identify the most similar artworks for a given query. The proposed techniques are demonstrated on a corpus of religious paintings, showing their effectiveness in retrieving visually and semantically analogous artworks. The findings suggest that this methodology could prove helpful for extensive analyses of large image datasets.