CEMVC Researchers Publish Image Classification Paper

Congratulations to Dr. Michael Cormier, Dr. Sarah Park, and Dr. Lauren Beck on their publication, “Automatic Classification of Woodcuts and Copperplate Engravings”, published in the 2020 17th Conference on Computer and Robot Vision Proceedings.

This publication is an exciting contribution to the Digital Humanities, and opens up possibilities for the application of AI to the Humanities. Check out the abstract below, or read the article here.

Abstract: In this paper we introduce two related Bayesian approaches to distinguishing woodcut and copperplate engraving illustrations. Our approach uses simple methods grounded in the characteristics of the techniques to achieve high performance and excellent interpretability. Specifically, we use the distributions of image gradient magnitudes in illustrations to capture differences in the use of lines in each artistic technique, and the output of a probability for each class aides in interpretability. Our experiments demonstrate high accuracy and robustness with respect to parameters for both algorithms.