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Updated: Apr 25, 2026

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
Published on: June 18, 2021
Mapping the flow of painterly gesture
Lizhen Zhu1, Chaewan Chun1, Kathryn Brown2
1Department of Informatics and Intelligent Systems, College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA 16802, USA.
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.
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