ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Feature Detection and Simplification of 3D Face Data with Facial Expressions
Cited 5 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
김용국, 김현중, 최인호, 김진서, 최수미
발행일
201210
출처
ETRI Journal, v.34 no.5, pp.791-794
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.12.0212.0112
협약과제
12CT1900, 3D 페이셜 아바타 기반 실감 분장 시뮬레이션 기술 개발, 김진서
초록
We propose an efficient framework to realistically render 3D faces with a reduced set of points. First, a robust active appearance model is presented to detect facial features in the projected faces under different illumination conditions. Then, an adaptive simplification of 3D faces is proposed to reduce the number of points, yet preserve the detected facial features. Finally, the point model is rendered directly, without such additional processing as parameterization of skin texture. This fully automatic framework is very effective in rendering massive facial data on mobile devices. © 2012 ETRI.
키워드
Active appearance model, Facial feature detection, Feature-adaptive simplification, Point-based rendering
KSP 제안 키워드
3D Face, Active Appearance Model(AAM), Different illumination, Efficient framework, Facial feature detection, Illumination conditions, Mobile devices, Point model, Skin texture, facial expression, point-based rendering