ArtComputer ScienceMedicine

Lizhen Zhu, Chaewan Chun, Kathryn Brown, J. Z. Wang

2026.3.1Patterns

DOI: 10.1016/j.patter.2026.101516

Abstract

We introduce streamline-based visualizations that manifest the detailed directional structures of painted surfaces by integrating local gradient information into continuous flow representations. Using Impressionist paintings as a primary case study, we position these visualizations as interpretive instruments that render the gestural production of artworks perceptible, comparable, and accessible to both scholars and non-specialist audiences.

Citation format

ZHU, Lizhen, et al. Mapping the flow of painterly gesture. Patterns, 2026, 7(3): 101516.