A Method of 3D Object Reconstruction from a Series of Cross-Sectional Images (Special Issue on 3D Image Processing)

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概要

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• This paper addresses a method for constructing surface representation of 3D structures from a sequence of cross-sectional images. Firstly, we propose cell-boundary representation, which is a generalization of PVP method proposed by Yun and Park [18], and develop an efficient surface construction algorithm from a cell-boundary. Cell-boundary consists of a set of boundary cells with their l-voxel configurations, and can compactly describe binary volumetric data. Secondly, to produce external surface from the cell-boundary representation, we define 19 modeling primitives (MP) including volumetric, planar and linear groups. Surface polygons are created from those modeling primitives using a simple table look-up operation. Since a cell-boundary can be obtained using only topological information of neighboring voxels, there is no ambiguity in determining modeling primitives which may arise in PVP method. Since our algorithm has data locality and is very simple to implement, it is very appropriate for parallel processing.

• 社団法人電子情報通信学会の論文
• 1994-09-25

著者

• PARK Kyu

  Computer Engineering Research Laboratory, Department of Electrical Engineering and Computer Science

• Park Kyu

  Computer Engineering And Research Laboratory Dept. Of Electrical Engineering Korea Advanced Institut

• Lee E‐t

  Electronics And Telecommunications Res. Inst. Taejon Kor

• Choi Young-kyu

  Computer Engineering Research Laboratory Department Of Electrical Engineering Korea Advanced Institu

• Lee Ee-Taek

  Computer Engineering Research Laboratory, Department of Electrical Engineering, Korea Advanced Insti

• Park Kyu

  Computer Engineering Research Laboratory Department Of Electrical Engineering Korea Advanced Institu

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• A Method of 3D Object Reconstruction from a Series of Cross-Sectional Images (Special Issue on 3D Image Processing)

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