Paper Info
Title
Is the perceived agreeability of a face related to the fractal dimension of the face?
Abstract
Why do people feel happy and good or empathize more, with smiling faces than with expressionless faces? To understand the mechanism involved in the recognition of facial imagery, we evaluated the degree of agreeability for 46 expressionless and smiling facial images obtained from young persons including 84 subjects having no pre-acquired knowledge to the experiments. Each image was presented to every subject and was asked to rank agreeability on a scale from 1 to 10. By using of two types of fractal analysis, i.e., planner and cubic analyses, fractal dimensions of facial images were obtained in order to characterize the complexity of the images. Furthermore, we calculated the local fractal dimensions around parts of eyes and mouths. The results showed a significant difference in the local fractal dimension around mouths between the expressionless and smiling faces. On the other hand, we found a strong correlation between the degree of agreeability and fractal dimensions of whole faces. However, a significant correlation between the local fractal dimensions around mouths and agreeability was not found. These showed that humans recognized face in the wholly way, rather than locally, when we defined the agreeability of facial imagery. These results imply that the fractal dimension obtained in relation to complexity in imagery optically information is useful in characterizing the psychological processes of cognition and awareness.
Year
DOI
Venue
2008
10.1109/ICSMC.2008.4811748
SMC
Keywords
Field
DocType
face recognition,fractals,expressionless facial image,facial imagery recognition,fractal analysis,image complexity,local fractal dimension,perceived agreeability,smiling facial image,Agreeability,Face,Fractal dimension,Images,recognition
Fractal analysis,Computer vision,Facial recognition system,Fractal dimension,Computer science,Fractal,Image complexity,Correlation,Pixel,Artificial intelligence,Cognition
Conference
ISSN
Citations 
PageRank 
1062-922X
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Yasuo Itoh100.68
Mayumi Oyama-Higa23315.63
Tiejun Miao32311.04