The evaluation and measurement of human body dimensions are achieved by physical anthropometry. The main goal of this research is to optimization of facial feature point by establishing a mathematical relationship among facial features and used optimize feature points for age classification. According to this proposes method, sixteen Euclidean distances are calculated from the eighteen selected facial feature points vertically as well as horizontally. The distances between the specified features points increase with respect the age progression of a human from his or her childhood but the ratio of the distances does not change ( =1.618). Feature distances are used for classification of age using Support Vector Machine (SVM) - Sequential Minimal Optimization (SMO) algorithm and shown around 96% accuracy.
목차
Abstract 1. Introduction 2. Related works 3. Proposed method 4. Age classification using optimized facial features 6. Conclusion and Future Works Acknowledgements References
키워드
Face AnthropometricsSVM-SMOFacial Features ExtractionFeature distances3D Face Model
저자
Ruoyu Du [ Division of Computer Science and Engineering, Chonbuk National University ]
Hyo Jong Lee [ Division of Computer Science and Engineering, Center for Advanced Image and Information Technology, Chonbuk National University ]
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.8 No5