Paper
1 January 1990 Surface reconstruction based on descriptions of cross-sectional contours
Yong H. Kim, Ren C. Luo
Author Affiliations +
Proceedings Volume 1260, Sensing and Reconstruction of Three-Dimensional Objects and Scenes; (1990) https://doi.org/10.1117/12.20018
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States
Abstract
Surface reconstruction from cross-sectional contours has become increasingly important in medical image applications. In this paper, a method of reconstructing the surface of an object based on the descriptions of cross-sectional contours has been developed. Each cross-sectional contour is first partitioned into convex/concave segments based on the relative locations of points on the contour. Each segment of the contour is then described by a parametric cubic polynomial, and the boundary is recovered based on the description. A matching technique incorporating possible deformations between adjacent cross-sections is used to obtain the correspondence between adjacent cross-sectional contours. Once the correspondence is established, the surface between correspondent segments of adjacent crosssectional contours is reconstructed by a traditional triangulation technique. As the reconstruction is based on the shape of the cross-sections, the reconstructed surfaces are more close to that of the original object.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong H. Kim and Ren C. Luo "Surface reconstruction based on descriptions of cross-sectional contours", Proc. SPIE 1260, Sensing and Reconstruction of Three-Dimensional Objects and Scenes, (1 January 1990); https://doi.org/10.1117/12.20018
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Smoothing

Computed tomography

Intelligence systems

Magnetic resonance imaging

Medical imaging

Computer engineering

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