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학술대회 Automatic 3D Face Component Analysis Technique
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저자
임성재, 황본우, 윤승욱, 최진성, 박창준
발행일
201801
출처
International Conference on Consumer Electronics (ICCE) 2018, pp.1023-1024
DOI
https://dx.doi.org/10.1109/ICCE.2018.8326087
협약과제
17HS4800, 모바일 기반의 3D 프린팅 콘텐츠 생성/저작/출력 기술 및 응용 서비스 개발, 최진성
초록
This paper proposes a technique to perform segmentation for the meaningful regions that part of the face captured by 3D scanners or 3D sensors, automatically. Each part recognition of the scanned face is vital for the 3D applications such as modeling, animation and 3D printing. We transfer the template model labeled with the meaningful part to the scanned face model to find the corresponding part of each meaningful part of the template model. This technique can be used to the several applications such as 3D face modeling, facial animation, virtual facial surgery and 3D printing.
KSP 제안 키워드
3D Applications, 3D face modeling, 3D printing, 3D scanner, 3D sensors, component analysis, facial animation