3 papers
cs.CV2025
Forensic Study of Paintings Through the Comparison of Fabrics
Juan José Murillo-Fuentes, Pablo M. Olmos, Laura Alba-Carcelén
The study of canvas fabrics in works of art is a crucial tool for authentication, attribution and conservation. Traditional methods are based on thread density map matching, which…
cs.CV2023
Thread Counting in Plain Weave for Old Paintings Using Semi-Supervised Regression Deep Learning Models
A. D. Bejarano, Juan J. Murillo-Fuentes, Laura Alba-Carcelen
In this work, the authors develop regression approaches based on deep learning to perform thread density estimation for plain weave canvas analysis. Previous approaches were based…
cs.CV2023
Crossing Points Detection in Plain Weave for Old Paintings with Deep Learning
A. Delgado, L. Alba-Carcelén, J. J. Murillo-Fuentes
In the forensic studies of painting masterpieces, the analysis of the support is of major importance. For plain weave fabrics, the densities of vertical and horizontal threads are…