| 基于几何图像的点云数据简化算法 |
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| 引用本文： | 杜小燕,郝传刚,王玉梅.基于几何图像的点云数据简化算法[J].苏州大学学报(工科版),2009,29(2). |
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| 作者姓名： | 杜小燕 郝传刚 王玉梅 |
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| 作者单位： | 苏州大学计算机科学与技术学院,江苏,苏州,215006 |
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| 摘 要： | 提出一种基于几何图像的点云数据简化算法,该算法将基于几何图像的简化与随机采样相结合,首先将点集合的笛卡尔坐标转换为球面极坐标,再将球面极坐标重采样到灰度图像中,然后基于几何图像进行简化,最后引入随机采样来填补几何图像简化所产生的孔洞.实验证明了该算法的正确性和高效性.
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| 关 键 词： | 点云简化 几何图像 随机采样 |
Point Cloud Simplification Based on Geometry Image and Random Sampling |
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| Du Xiaoyan,Hao Chuangang,Wang Yumei.Point Cloud Simplification Based on Geometry Image and Random Sampling[J].Journal of Suzhou University(Engineering Science Edition),2009,29(2). |
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| Authors: | Du Xiaoyan Hao Chuangang Wang Yumei |
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| Affiliation: | School of Computer Science and Technology;Suzhou University;Suzhou 215006;China |
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| Abstract: | This paper presents a point cloud simplification algorithm based on the combination of geometry image and random sampling methods.First,the algorithm transfers point-sampled models from Descartes coordinate into according spherical polar coordinate.And the geometry image is created by projecting its spherical polar coordinates onto a plane.The point cloud is simplified by the created geometry image.And the random sampling methods is applied to make up the holes induced by geometry image simplification.Some ... |
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| Keywords: | point cloud simplification geometry Image random sampling |
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