Paper
16 February 2010 Multifractal comparison of the painting techniques of adults and children
J. R. Mureika, M. S. Fairbanks, R. P. Taylor
Author Affiliations +
Proceedings Volume 7531, Computer Vision and Image Analysis of Art; 75310O (2010) https://doi.org/10.1117/12.840411
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
Statistical analysis of art, particularly of the abstract genre, is becoming an increasingly important tool for understanding the image creation process. We present a multifractal clustering analysis of non-representational images painted by adults and children using a 'pouring' technique. The effective dimensions (D0) are measured for each, as is the associated multifractal depth ▵D = D0 - DOO. It is shown that children create paintings whose dimensions D0 are less than those created by adults. The effective dimensions for adult painters tend to cluster around 1.8, while those for children assume typical values of 1.6. In a similar fashion, the multifractal depths for images painted by adults and children show statistically-significant differences in their values. Adult paintings show a relatively shallow depth (▵D ~ 0.02), while children's paintings show a much greater depth (▵D ~ 0.1). Given that the 'pouring' technique reflects the body motions of the artist, the results suggest that the differences in the paintings' fractal characteristics are potential indicators of artist physiology.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. R. Mureika, M. S. Fairbanks, and R. P. Taylor "Multifractal comparison of the painting techniques of adults and children", Proc. SPIE 7531, Computer Vision and Image Analysis of Art, 75310O (16 February 2010); https://doi.org/10.1117/12.840411
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fractal analysis

Image processing

Statistical analysis

Visualization

Image analysis

Motion analysis

Physiology

Back to Top