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주성분분석(PCA)기반 포유류의 얼굴 비율 연구 － 인간과 동물 20종을 중심으로A Study on the Face Ratio of Mammals Based on Principal Components Analysis (PCA) － Focus on 20 Species of Animals and Humans
- Other Titles
- A Study on the Face Ratio of Mammals Based on Principal Components Analysis (PCA) － Focus on 20 Species of Animals and Humans
- Issue Date
- Dec-2020
- Publisher
- 한국멀티미디어학회
- Keywords
- Principal Component Analysis(PCA); Ratio of Human and Animal facial Components; Character Design
- Citation
- 멀티미디어학회논문지, v.23, no.12, pp 1586 - 1593
- Pages
- 8
- Indexed
- KCI
- Journal Title
- 멀티미디어학회논문지
- Volume
- 23
- Number
- 12
- Start Page
- 1586
- End Page
- 1593
- ISSN
- 1229-7771
- 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.
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Related Researcher
- Lee, Young Sook
- Research Institute for Image & Culture Content