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
- 2011.1
- 수록면
- 1,103 - 1,116 (14page)
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초록· 키워드
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In this paper, robust surface reconstruction of teeth’s pointsets obtained from 3D laser scanner will be covered. Teeth are of pretty much complex structure as they contain many sharp features; valleys between adjacent teeth, molar tooth’s upper floor parts, etc.. This is why surface reconstruction which enables both smoothened and feature-preserved surface is needed for teeth 3D modeling. Recent studies about surface reconstruction presented robust methods for surface modeling, but when applying those methods on teeth modeling, they induce many noises and are also weak at feature preservation. In this paper, the accuracy of mesh generation and surface registration is strengthened by improving pre-existing methods. By iteratively executing pointcloud template based surface attraction and feature-preserving smoothing, robust surface denoising could be performed which resulted in highly delicate and feature-preserving teeth surface model.
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UCI(KEPA) : I410-ECN-0101-2015-500-001138049