지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.7
- 수록면
- 818 - 821 (4page)
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초록· 키워드
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This paper presents 3D human face modeling based on facial muscles using magnetic resonance imaging (MRI) with ultra-short echo-time (UTE) pulse sequence. T1-weighted, isotropic (1.0x1.0x.1.0mm3) resolution 3D invivo data was acquired with 3 tesla MR scanner. We employed anisotropic diffusion filter, morphological operations, and region growing algorithm for segmentation of facial muscles. We were able to segment and reconstruct the following facial muscles: orbicularis oris, mentalis, orbicularis oculi, zygomaticus major,
zygomaticus minor, temporalis, and buccinators. The segmented muscles using UTE images can improve 3D human face modeling. Human face modeling should consider facial muscles in order to produce accurate face models for trustworthy results of imaginary plastic surgery and natural 3D animations.
zygomaticus minor, temporalis, and buccinators. The segmented muscles using UTE images can improve 3D human face modeling. Human face modeling should consider facial muscles in order to produce accurate face models for trustworthy results of imaginary plastic surgery and natural 3D animations.
목차
Abstract
Ⅰ. 서론
Ⅱ. 본론
Ⅲ. 결론 및 향후 연구 방향
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UCI(KEPA) : I410-ECN-0101-2014-560-002401467