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주성분분석(PCA)기반 포유류의 얼굴 비율 연구 - 인간과 동물 20종을 중심으로
A Study on the Face Ratio of Mammals Based on Principal Components Analysis (PCA) - Focus on 20 Species of Animals and Humans
- 이영숙;
- 기대욱
초록
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.
키워드
Principal Component Analysis(PCA); Ratio of Human and Animal facial Components; Character Design
- 제목
- 주성분분석(PCA)기반 포유류의 얼굴 비율 연구 - 인간과 동물 20종을 중심으로
- 제목 (타언어)
- A Study on the Face Ratio of Mammals Based on Principal Components Analysis (PCA) - Focus on 20 Species of Animals and Humans
- 저자
- 이영숙; 기대욱
- 발행일
- 2020-12
- 저널명
- 멀티미디어학회논문지
- 권
- 23
- 호
- 12
- 페이지
- 1586 ~ 1593
- 언어
- KOR
- 출판사
- 한국멀티미디어학회
- 발행국가
- 대한민국
- 분량
- 8 페이지
- ISSN
- P 1229-7771