| 3D点云BSP并行计算模型及算法设计 |
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| 引用本文： | 刘嵩,谢晓尧.3D点云BSP并行计算模型及算法设计[J].贵州大学学报(自然科学版),2014(1):80-83,112. |
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| 作者姓名： | 刘嵩 谢晓尧 |
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| 作者单位： | [1]贵州大学计算机科学与技术学院,贵州贵阳550025 [2]贵州师范大学信息与计算科学重点实验室,贵州贵阳550001 |
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| 摘 要： | 根据3D点云数据处理计算特点,按照BSP模型的技术思想,建立了3D点云BSP并行计算模型。讨论了HAMA框架下的3D点云BSP并行计算模型的实现方法,构建了一个由普通PC组成的HAMA计算集群。以3D点模型构建计算为例,给出了一种3D点云数据处理BSP算法设计方法。实例的计算结果表明:BSP并行计算方法能高效地完成3D点模型构建计算,与其它计算方法相比,计算效率有所提高。
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| 关 键 词： | D点云 并行计算 BSP模型 HAMA框架 Hadoop系统 |
BSP parallel Computing Model and Algorithm Design of 3D Point Cloud |
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| LIU Song,＇,XIE Xiao-yao.BSP parallel Computing Model and Algorithm Design of 3D Point Cloud[J].Journal of Guizhou University(Natural Science),2014(1):80-83,112. |
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| Authors: | LIU Song ＇ XIE Xiao-yao |
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| Institution: | 2. ( 1. College of Computer Science ＆ Technology, Guizhou University, Guiyang 550025 ,China; 2. Key 1,aboratory of Intormation ＆ Computing Selene cizhou Normal University, Guiyang 550001 ,China) |
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| Abstract: | On the basic of 3D Point cloud data processing ＆ computing characteristics, the BSP parallel compu ting model of 3D Point cloud was established according to the BSP model technology thought. The implementation methods of the BSP parallel computing model of 3D Point cloud on the framework of HAMA was discussed, and a HAMA computing clusters composed of the ordinary PC was built. Taking a 3D Point model building as an ex ample, a design method of 3D Point cloud data processing BSP algorithm was presented. Multiple instances of the calculations results show that the BSP parallel computing method can efficiently complete the 3D Point model building calculation. Compared with other calculation methods, its calculation efficiency has improved. |
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| Keywords: | 3D point cloud parallel computing BSP model HAMA Hadoop |
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