3D Reconstruction System for Surveying and Mapping Images Based on Matrix Optimization Decomposition
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.
matrix optimization decompositionsurveying and mapping images3D reconstructionDescartes coordi-nates
NETL
NSTL
万方数据
