Computational Aesthetics
On the Complexity of Computer-Generated Paintings
Bibliographic Data
| ID | 3492644 |
|---|---|
| Authors | Kang Zhang (0000-0003-3802-7535, Kang Zhang (educator), Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080-3021, U.S.A..), Stuart Harrell (Stuart Harrell (student), Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080-3021, U.S.A..), S Veeragoudar Harrell (The University of Texas at Dallas), Xin Ji (0009-0003-3355-2119, Xin Ji (educator), School of Arts, Southeast University, Nanjing, Jiangsu, China..) |
| Year | 2012 |
| Volume | 45 |
| Issue | 3 |
| Pages | 243-248 |
| Publication date | 2012-06-01 |
| Peer Reviewed | Yes |
| 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_00366 |
| OpenAlex | W2110043917 |
| Language | EN |
| Citations received | 4 |
| References cited | 11 |
This article discusses how visual arts and computer technology could complement and assist each other in new and emerging interdisciplinary areas known as computational aesthetics and aesthetic computing. The authors present examples of computational aesthetics that demonstrate that modern computer technology can generate aesthetic forms of visual art. Several levels of complexity in computerized abstract paintings are discussed and explored. The authors recently experimented with encoding computational rules to automatically generate a particular style of abstract painting in an attempt to explore one of the levels. The preliminary results of this research are presented. A more systematic and grammar-based approach is discussed as a potential future direction of work
Aesthetics · Algorithm · Art · Cognitive science · Complement (music) · Computational complexity theory · Computational model · Encoding (memory) · Human–computer interaction · Painting · Style (visual arts) · Visual arts · Aesthetic Perception and Analysis · Artificial Intelligence · Computer Graphics and Visualization Techniques · Computer Science · Data Visualization and Analytics · Psychology
| Unique citing works | 4 |
|---|---|
| Citations per year | 0.4 |
| Citation span | 2016 - 2022 (7) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |