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基于特征检测的曲面分片构造方法

Piecewise Surface Construction Method Based on Feature Detection

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【作者】 岳娟李范鸣葛军刘士建

【Author】 YUE Juan;LI Fanming;GE Jun;LIU Shijian;Key Laboratory of Infrared System Detection and Imaging Technology (Shanghai Institute of Technical Physics) ,Chinese Academy of Sciences;

【机构】 中国科学院红外探测与成像技术重点实验室(上海技术物理研究所)

【摘要】 目前主流曲面分片构造法大多无法直接应用于具有尖锐特征的目标表面重建。针对该问题,提出一种新的曲面分片构造方法。通过建立目标表面采样点的空间三角网格模型,对网格模型进行特征检测,根据特征检测结果计算网格顶点法向量集,并基于顶点空间坐标和法向量集进行分片二次曲面插值,实现目标表面三维重建。实验结果表明,该方法重建表面达到C~0连续,满足可视化等应用要求,相对主流算法,信噪比提高2倍以上,均方误差至少降低1个数量级。

【Abstract】 Current mainstream methods for mesh piecewise reconstruction cannot directly be used to reconstruct objects with sharp edges,a method for mesh piecewise reconstruction based on feature detection is proposed. It builds the object’s triangular grid model,and performs an operation of feature recognition on the grid model,and calculates the normal vector set of each grid vertex,Based on the vertexes’ positions and normal vector sets,it implements a quadratic interpolation on each triangle patch, so the 3D reconstruction of the object is achieved. Experimental results show that it can attain C~0 continuity,which meets the need of visualization. Compared with that of the mainstream methods,i ts SignaltoNoise Ratio( SNR) is more than 2 times bigger and its MSE is decreased one order of magnitude at least.

  • 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2017年06期
  • 【分类号】TP391.41
  • 【被引频次】4
  • 【下载频次】103
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