Multifractal Fingerprints in the Visual Arts
Bibliographic Data
| ID | 10271719 |
|---|---|
| Authors | J R Mureika (W. M. Keck Science Center, The Claremont Colleges, 925 N. Mills Avenue, Claremont, CA 91711-5916, U.S.A. <>), Jonas Mureika (0000-0002-9926-4465, W.M. Keck Science Center, corresponding author), Gerald C Cupchik (0000-0002-1407-6503, University of Toronto, corresponding author), C C Dyer (University of Toronto, corresponding author) |
| Year | 2004 |
| Volume | 37 |
| Issue | 1 |
| Pages | 53-56 |
| Publication date | 2004-02-01 |
| 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 | 10.1162/002409404772828139 |
| OpenAlex | W2154264690 |
| Language | EN |
| References cited | 8 |
The similarity in fractal dimensions of paint “blobs” in samples of gestural expressionist art implies that these pigment structures are statistically indistinguishable from one another. This conclusion suggests that such dimensions cannot be used as a “finger-print” for identifying the work of a single artist. To overcome this limitation, the authors have adopted the multifractal spectrum as an alternative tool for artwork analysis. For the pigment blobs, it is demonstrated that this spectrum can be used to isolate a construction paradigm or art style. Additionally, the fractal dimensions of edge structures created by luminance gradients on the canvas are analyzed, yielding a potential method for visual discrimination of fractally similar paintings
Art · Computer vision · Fractal · Image (mathematics) · Luminance · Mathematical analysis · Multifractal system · Painting · Pattern recognition (psychology) · Similarity (geometry) · Style (visual arts) · Visual arts · Aesthetic Perception and Analysis · Artificial Intelligence · Computer Science · Mathematics
| Citation velocity | historical |
|---|---|
| Highly cited | No |