| 三维图像重构的点云精简算法 |
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| 引用本文： | 孟祥林.三维图像重构的点云精简算法[J].黑龙江科技学院学报,2013(5):475-478. |
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| 作者姓名： | 孟祥林 |
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| 作者单位： | 黑龙江科技大学现代制造工程中心,哈尔滨150022 |
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| 基金项目： | 国家科技重大专项项目（2020ZX04016-012）;国家自然科学基金面上项目（51075128） |
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| 摘 要： | 为解决光学三维测量系统测量数据的精简问题,提出一种基于图像重构三维的点云精简算法.利用数字图像处理技术,建立数字图像像素点与三维数据点的对应关系表,采用分级方式建立查找表,根据建立的查找表对三维数据进行精简.实验结果表明：精简算法将数据从712 068个点有效地精简至132 064个点,文件大小也从21.6 M减小到4M.该方法能有效对数据进行精简,兼具基于距离和曲率精简的优点.
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| 关 键 词： | 图像处理 查找表 精简 |
Concise algorithm based on image reconstruction of 3D point cloud |
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| MENG Xianglin.Concise algorithm based on image reconstruction of 3D point cloud[J].Journal of Heilongjiang Institute of Science and Technology,2013(5):475-478. |
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| Authors: | MENG Xianglin |
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| Institution: | MENG Xianglin( 1.Modern Manufacture Engineering Center, Heilongjiang University of Science ＆ Technology, Harbin 150022, China;) |
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| Abstract: | This paper seeks to streamline measurement data used for three-dimensional optical measurement system and proposes a novel algorithm for reducing measurement point cloud based on image.The algorithm begins by creating corresponding relation tables between digital image pixels and 3D data points by using image processing technique,proceeds to establish a lookup table by adopting hierarchical approach,and ends with streamlining 3D data according to the table.Experiment shows that the algorithm permits a point cloud to be reduced effectively from 712 068 points to 132 064 points using,and the file size to be reduced from 21.6 M to 4 M.The algorithm features a combination of an effective data reduction and simplification based on distance and curvature |
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| Keywords: | image processing lookup table reduction |
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