TY - JOUR AU - Elgammal, Ahmed AU - Kang, Yan AU - Den Leeuw, Milko PY - 2018/04/25 Y2 - 2024/03/28 TI - Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 32 IS - 1 SE - AAAI Technical Track: Applications DO - 10.1609/aaai.v32i1.11313 UR - https://ojs.aaai.org/index.php/AAAI/article/view/11313 SP - AB - <p> This paper proposes a computational approach for analysis of strokes in line drawings by artists. We aim at developing an AI methodology that facilitates attribution of drawings of unknown authors in a way that is not easy to be deceived by forged art. The methodology used is based on quantifying the characteristics of individual strokes in drawings. We propose a novel algorithm for segmenting individual strokes. We propose an approach that combines different hand-crafted and learned features for the task of quantifying stroke characteristics. We experimented with a dataset of 300 digitized drawings with over 80 thousands strokes. The collection mainly consisted of drawings of Pablo Picasso, Henry Matisse, and Egon Schiele, besides a small number of representative works of other artists. The experiments shows that the proposed methodology can classify individual strokes with accuracy 70%-90%, and aggregate over drawings with accuracy above 80%, while being robust to be deceived by fakes. </p> ER -