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。
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 vision3D 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.
出处
《测绘通报》
CSCD
北大核心
2017年第11期64-67,共4页
Bulletin of Surveying and Mapping
基金
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)
关键词
双目视觉
三维点云
误差
协方差传播律
binocular vision
3D point cloud
error
covariance propagation
