Perception of Visual Art and Topological Data Analysis
Institut des Hautes Etudes Scientifiques (IHES) via YouTube
AI Engineer - Learn how to integrate AI into software applications
Free courses from frontend to fullstack and AI
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore the application of topological data analysis (TDA) in studying differences in the perception of painting images through this 43-minute lecture. Delve into a psychological and neurophysiological experiment that reveals variations in physiological responses, specifically eye movements, when observing abstract images created by professional artists versus those generated by neural networks. Examine how observers focus on specific features within images and how visual attention is drawn to geometric objects. Learn how methods of algebraic topology, particularly Topological Data Analysis, are employed to support these observations. Discover the significant differences in topological properties between "real" and computer-generated images, as presented by Marek KuÅ› from the Center for Theoretical Physics, Polish Academy of Sciences, at the Institut des Hautes Etudes Scientifiques (IHES).
Syllabus
Marek KuÅ› - Perception of visual art and topological data analysis
Taught by
Institut des Hautes Etudes Scientifiques (IHES)