Secrets of Balanced Composition as Seen through a Painter’s Window
Visual Analyses of Paintings Based on Subset Barycenter Patterns
Bibliographic Data
| ID | 10274856 |
|---|---|
| Authors | Jin Wan Park (0000-0002-3816-8357, Chung-Ang University, corresponding author) |
| Year | 2019 |
| Volume | 52 |
| Issue | 4 |
| Pages | 364-373 |
| Publication date | 2019-08-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Leonardo (JOURNAL) |
| Journal identifiers | ISSN: 0024-094X • E-ISSN: 1530-9282 |
| Publisher | MIT Press - Journals (PUBLISHER) |
| DOI | 10.1162/leon_a_01778 |
| OpenAlex | W4235126412 |
| Language | EN |
| References cited | 3 |
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 cited | No |
|---|