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http://dx.doi.org/10.9717/kmms.2020.23.12.1586

A Study on the Face Ratio of Mammals Based on Principal Components Analysis (PCA) - Focus on 20 Species of Animals and Humans  

Lee, Young-suk (Institute of Image and Cultural Contents, Dongguk University)
Ki, Dae Wook (Research Institute, THiRA-UTECH Co., Ltd.)
Publication Information
Journal of Korea Multimedia Society / v.23, no.12, 2020 , pp. 1586-1593 More about this Journal
Abstract
This study was conducted on the face ratio of mammals. It can also be applied to character automation by checking factors about the difference between animal and human face shapes. This paper used the face and face area data generated for Deep Learning learning. In detail, the proportion factors of the area comprising the faces of 20 species of animals and humans were defined and the average ratio was calculated. Next, the proportion of each animal was analyzed using the Principal Component Analysis (PCA). Through this, we would like to propose the golden ratio of mammals.
Keywords
Principal Component Analysis(PCA); Ratio of Human and Animal facial Components; Character Design;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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