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计算机工程 ›› 2008, Vol. 34 ›› Issue (9): 238-239,. doi: 10.3969/j.issn.1000-3428.2008.09.086

• 多媒体技术及应用 • 上一篇    下一篇

面向对象的城市建筑物点云数据加载和组织

路兴昌1,2,张艳红1,张爱武2   

  1. (1. 吉林大学地探学院,长春 130026;2. 首都师范大学三维空间信息获取与应用教育部重点实验室,北京 100037)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-05-05 发布日期:2008-05-05

Object-oriented Loading and Organization on Points Cloud Data of Urban Building

LU Xing-chang1,2, ZHANG Yan-hong1, ZHANG Ai-wu2   

  1. (1. College of Geo-exploration Science and Technology, Jilin University, Changchun 130026; 2. Ministry of Education Key Laboratory of 3D Information Acquisition and Application, Capital Normal University, Beijing 100037)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-05-05 Published:2008-05-05

摘要: 采用面向对象程序设计方法对三维点云数据进行分析,研究以Visual C++6.0为开发平台利用图像法对激光扫描获取的城市建筑物点云数据进行组织的计算机实现方法。通过扫描关系确定点云数据中有效目标点的全局唯一索引值,将点云数据看作一幅深度图像,确定全局索引值对应的图像行列值,再利用该行列值计算每个点对应的法向量,分类和组织点云数据。实验结果表明,利用面向对象的图像处理技术可以方便、快捷地实现三维点云数据的加载和组织。

关键词: 面向对象, 点云数据, 深度图像, 组织

Abstract: Three dimensional points cloud data are analyzed by using object-oriented programmer, and the computer-based realization, which is organized by points cloud data of urban building captured by laser scanning, is studied based on image process on the exploration platform of Visual C++6.0. The unique global indexes of valid target points are determined by scanning relationship between points. The image range corresponding to the global indexes is fixed on by taking points cloud data as a range image. The points cloud data are classified and organized by calculating the normals of all corresponding points by using the image ranges obtained before. The experimental results indicate that loading and organizing three dimensional points cloud data can be implemented easily and quickly by using object-oriented image technique.

Key words: object-oriented, points cloud data, range image, organization

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