基于矩阵优化分解的测绘图像三维重建系统  

3D Reconstruction System for Surveying and Mapping Images Based on Matrix Optimization Decomposition

作　　者：丁玎[1] 张颜皓 Ding Ding;Zhang Yanhao(Henan University of Economics and Law,Zhengzhou 450002,China)

机构地区：[1]河南财经政法大学,郑州450002

出　　处：《科技通报》2024年第6期36-40,共5页Bulletin of Science and Technology

摘　　要：由于测绘图像细节信息特征独立性显著,三维重建波段的选取易出现偏差,影响测绘图像三维重建效果。为此,本文设计基于矩阵优化分解的测绘图像三维重建系统。设计测绘图像导入主从设备接口,实现测绘图像数据导入处理。3D引擎图像渲染模块和多通道三维显示模块可以实现多台计算机对同一场景的渲染。采用矩阵优化分解方法选择图像三维重建波段,将波段上任意点到对应极线距离作为重建目标,连接所有坐标形成曲面,计算各点三维笛卡尔坐标值,并恢复测绘图像被遮挡部分,修正波段值,实现三维重建。测试结果表明:该系统重建的三维图像像素均匀,无异常凸起部分。重建误差平均为0.06,具有精准三维重建效果。Due to the significant independence of detailed information features in surveying and mapping images,the selection of 3D reconstruction bands is prone to bias,which affects the effectiveness of 3D reconstruction of surveying and mapping images.To this end,a 3D reconstruction system for surveying and mapping images based on matrix optimi-zation decomposition is designed.Design a master slave device interface for importing surveying and mapping images,to achieve the import and processing of surveying and mapping image data.The 3D engine image rendering module and multi-channel 3D display module can enable multiple computers to render the same scene.Using matrix optimization de-composition method to select the 3D reconstruction band of the image,the distance from any point on the band to the corresponding polar line is used as the reconstruction target,and all coordinates are connected to form a surface.The 3D Cartesian coordinate values of each point are calculated,and the occluded part of the mapping image is restored.The band values are corrected to achieve 3D reconstruction.The test results show that the 3D image reconstructed by the system has uniform pixels and no abnormal protrusions.The average reconstruction error is 0.06,which has a pre-cise 3D reconstruction effect.

关 键 词：矩阵优化分解 测绘图像 三维重建 笛卡尔坐标 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]