• Title/Summary/Keyword: 치아 기하학적 특징

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Geometric Features Detection of 3D Teeth Models using Approximate Curvatures (근사 곡률을 이용한 3차원 치아 모델의 기하학적 특징 검출)

  • Jang, Jin-Ho;Yoo, Kwan-Hee
    • The KIPS Transactions:PartA
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    • v.10A no.2
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    • pp.149-156
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    • 2003
  • In the latest medical world, the attempt of reconstructing anatomical human body system using computer graphics technology awakes people's interests. Actually, this trial has been made in dentistry too. There are a lot of practicable technology fields using computer graphics in dentistry For example, 3D visualization and measurement of dental data, detection of implant location, surface reconstruction for restoring artificial teeth in prostheses and relocation of teeth in orthodontics can be applied. In this paper, we propose methods for definitely detecting the geometric features of teeth such as cusp, ridge, fissure and pit, which have been used as most important characteristics in dental applications. The proposed methods are based on the approximate curvatures that are measured on a 3D tooth model made by scanning an impression. We also give examples of the geometric features detected by using the proposed methods. Comparing to other traditional methods visually, the methods are very useful in detecting more accurate geometric features.

Gender identification based on geometric features (기하학적인 특징을 이용한 치아의 성 변별)

  • Shin, Young-Suk;Chang, Chan-Wuk;Kim, Myung-Su
    • 한국HCI학회:학술대회논문집
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    • 2007.02a
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    • pp.848-850
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    • 2007
  • 본 논문은 치아의 모양, 크기 및 턱의 모양 등과 같은 치아의 기하학적인 특징들을 사용하여 치아의 성 변별시스템에 PCA기법과 LDA기법을 각각 적용하고 두 기법을 비교분석한다. PCA기법과 LDA기법은 생체인식을 위한 주요 매핑기법으로 알려져 있다. PCA분석 기법을 적용하여 성변별의 결과 76%의 인식률이 획득되었으며, LDA분석기법은 66%의 인식률이 획득되었다. 본 연구의 결과로부터 PCA기법은 치아의 성변별에 있어 LDA기법보다 우수한 성능을 제공함을 확인할 수 있었다.

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Geometric Snapping for 3D Triangular Meshes and Its Applications (3차원 삼각형 메쉬에 대한 기하학적 스내핑과 그의 응용)

  • 유관희;하종성
    • Journal of KIISE:Computer Systems and Theory
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    • v.31 no.3_4
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    • pp.239-246
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    • 2004
  • Image snapping for an image moves the cursor location to nearby features in the image, such as edges. In this paper, we propose geometric snapping for 3D triangular meshes, which is extended from image snapping. Similar to image snapping, geometric snapping also moves the cursor location naturally to a location which represents main geometric features in the 3D triangular meshes. Movement of cursor is based on the approximate curvatures which appear geometric features on the 3D triangular meshes. The proposed geometric snapping can be applied to extract main geometric features on 3D triangular meshes. Moreover, it can be applied to extract the geometric features of a tooth which are necessary for generating the occlusal surfaces in dental prostheses.