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基于NURBS的散乱数据点自由曲面重构

NURBS BASED APPROACH OF SURFACE RECONSTRUCTION FROM SCATTERED DATA

  • 摘要: 针对散乱数据点, 首先提出基于曲率测度的大规模散乱数据点自适应压缩方法. 在此基础上,提出先压缩后重构的基于NURBS的曲面重构策略.该方法可在保持原数据点集基本特征的前提下,将散乱数据点压缩到NURBS曲面重构要求的规模,从而实现了大规模散乱数据点的精确曲面重构.

     

    Abstract: For the large scale scattered data,a two-step adaptive surface reconstruction approach is developed.The first step employs the adaptive extraction of key points based on the measure of curvature to produce the topologic mesh.It follows the second step by reconstructing the surface from the topologic rectangular mesh based on the NURBS method.By this approach,the large scale scattered data can be reduced to the reasonable scale,while main characteristics of the whole scattered data are remained,thereby the precise surface reconstruction with NURBS is realized.

     

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