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Secrets of Balanced Composition as Seen through a Painter’s Window

Visual Analyses of Paintings Based on Subset Barycenter Patterns

Bibliographic Data

ID10274856
AuthorsJin Wan Park (0000-0002-3816-8357, Chung-Ang University, corresponding author)
Year2019
Volume52
Issue4
Pages364-373
Publication date2019-08-01
Open AccessNo
TypeARTICLE
VenueLeonardo (JOURNAL)
Journal identifiersISSN: 0024-094X • E-ISSN: 1530-9282
PublisherMIT Press - Journals (PUBLISHER)
DOI10.1162/leon_a_01778
OpenAlexW4235126412
LanguageEN
References cited3

In this paper, the author implements and uses a subset barycenter pattern to analyze various paintings. The suggested visualization and analysis tool is inspired by Gombrich’s theory of a painter’s window and Locher’s psychological research on computational balance. An image’s or an image group’s subset (set of cropped images) may reveal genre and artist characteristics. Moreover, it may also reveal forensic information about each artist’s individual style and its changes over time with barycenter dispersion patterns. The suggested barycenter pattern analysis can enrich the methods of art history and criticism

Art · Composition (language) · Criticism · Image (mathematics) · Literature · Painting · Set (abstract data type) · Style (visual arts) · Visual arts · Visualization · Window (computing) · World Wide Web · Aesthetic Perception and Analysis · Art History and Market Analysis · Artificial Intelligence · Computer Science · Image Retrieval and Classification Techniques

Highly citedNo

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