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http://dx.doi.org/10.9717/kmms.2020.23.10.1339

A Study on the Ratio of Human and Dog Facial Components based on Principal Component Analysis  

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.10, 2020 , pp. 1339-1347 More about this Journal
Abstract
This study is a preliminary study to design a character automation system that considers the facial characteristics of mammals. The experimental data of this study was conducted on dogs (dog breeds) and humans, which were designed to be used in many contents. First, data was extracted from 100 types of dogs and 100 human data. Second, the criteria for measuring the ratio of important parts of the dog and human face were suggested. In addition, a comparative analysis of the face of a dog and a human face is conducted. Lastly, by analyzing the main component(PCA), the most characteristic elements in the faces of dogs and humans were analyzed. As a result, it was confirmed that the length of the face, the size of the eyes, the length of the glabellar, and the length of the glabellar and other parts are important. Through this study, the features of the dog's face that are different from humans are expected to contribute to the animal character automation.
Keywords
Principal Component Analysis(PCA); Ratio of Human and Dog Facial Components; Character Design;
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