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서지반출
Hierarchical Age Estimation based on Dynamic Grouping and OHRank
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취소
  • Hierarchical Age Estimation based on Dynamic Grouping and OHRank
  • Hierarchical Age Estimation based on Dynamic Grouping and OHRank
저자명
Zhang. Li,Wang. Xianmei,Liang. Yuyu
간행물명
KSII Transactions on internet and information systems : TIIS
권/호정보
2014년|8권 7호|pp.2480-2495 (16 pages)
발행정보
한국인터넷정보학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

This paper describes a hierarchical method for image-based age estimation that combines age group classification and age value estimation. The proposed method uses a coarse-to-fine strategy with different appearance features to describe facial shape and texture. Considering the damage to continuity between neighboring groups caused by fixed divisions during age group classification, a dynamic grouping technique is employed to allow non-fixed groups. Based on the given group, an ordinal hyperplane ranking (OHRank) model is employed to transform age estimation into a series of binary enquiry problems that can take advantage of the intrinsic correlation and ordinal information of age. A set of experiments on FG-NET are presented and the results demonstrate the validity of our solution.