지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.1
- 수록면
- 84 - 90 (7page)
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초록· 키워드
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Recent progress in reverse engineering from Computed Tomography (CT) scanner permits feature detection in 3D CT image of industrial part model. In this paper, we present a practical method for reconstructing a Bspline surface model from industrial CT image. The first step of our method is to segment the 3D volume data and detect the feature with 3D mask convolution. The next step consists of the point cloud selection and boundary curve construction. In this step, the boundary curve is constructed from the selected point and surface intersection. Finally, the surface is constructed from the selected point and the constructed boundary curve. The constructed surface is the combination of a free-form and primitive shape B-spline surface patch. The output of this step is the set of surface patches that share overlapping region at their shared boundary curve. This approach is widely used in the CAD industry and gives the continuity between the surface patches. Our method provides a framework, which leads to a paradigm shift of a surface reconstruction algorithm from industrial CT data in the term of robustness, flexibility, efficiency and control mechanism.
목차
ABSTRACT
1. Introduction
2. Previous work
3. Algorithm
4. Implementation and Example
5. Summary and Future work
References
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