测绘通报 ›› 2017, Vol. 0 ›› Issue (11): 64-67.doi: 10.13474/j.cnki.11-2246.2017.0349

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双目视觉三维点云重建的误差度量模型

卞玉霞1, 刘学军2, 王美珍2, 周业3, 甄艳3   

  1. 1. 成都信息工程大学资源环境学院, 四川 成都 610225;
    2. 南京师范大学虚拟地理环境教育部重点实验室, 江苏 南京 210097;
    3. 四川省第三测绘工程院, 四川 成都 610501
  • 收稿日期:2017-02-22 出版日期:2017-11-25 发布日期:2017-12-07
  • 作者简介:卞玉霞(1987-),女,博士,讲师,主要研究方向为视频GIS、空间数据不确定性等。E-mail:byx310@163.com
  • 基金资助:
    国家自然科学基金(41601422;41401436;41401442);四川省教育厅科研计划项目(17ZB0089);成都信息工程大学校引进人才启动项目(KYTZ201606);成都信息工程大学校选项目(CRF201610)

Error Metric Model for 3D Point Cloud Reconstruction Based on Binocular Vision

BIAN Yuxia1, LIU Xuejun2, WANG Meizhen2, ZHOU Ye3, ZHEN Yan3   

  1. 1. College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China;
    2. Ministry of Education Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210097, China;
    3. The Third Surveying and Mapping Engineering Institute of Sichuan, Chengdu 610501, China
  • Received:2017-02-22 Online:2017-11-25 Published:2017-12-07

摘要: 从图像中快速提取并构建三维模型是GIS空间数据获取的重要途径之一,作为智慧城市建设的基础数据,如何度量和控制图像三维模型质量成为阻碍智慧城市发展的首要问题。本文以立体像对为数据源,在研究三维点云重建模型的基础上,结合矩阵微分理论和协方差传播律构建了双目视觉三维点云误差度量模型及量化表达方法,为图像三维建模质量控制和精度评估提供理论依据。

关键词: 双目视觉, 三维点云, 误差, 协方差传播律

Abstract: Rapid extraction and construction of 3D model from the images play an important role in the spatial data acquisition. Considering the basic data of smart city construction, how to measure and ensure the accuracy of images-based 3D model reconstruction will become one of research questions. Firstly, the model of 3D point cloud reconstruction need to be studied, and then binocular vision 3D point cloud error metric model and quantitative expression method can be constructed, based on the matrix theory and differential covariance propagation law. This research would provide a theoretical basis for the quality control of 3D image modeling and accuracy assessment.

Key words: binocular vision, 3D point cloud, error, covariance propagation

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