Research On 3D Reconstruction Method Based On PMVS For UAV Sequence Image

Unmanned aerial vehicles(UAV)have the advantages of strong maneuverability,easy operation,low cost and short data acquisition period.They have become the main means of large-scale image acquisition and three-dimensional reconstruction.With the rapid development of China’s informatization process,the demand for 3D model reconstruction is increasing.Research on 3D reconstruction technology has become a field of smart cities,health care,navigation,archaeology,digital media,film and television entertainment,virtual reality and augmented reality Hot spot.Therefore,it is of great theoretical and practical value to study how to use UAV images for rapid and efficient 3D reconstruction.This paper takes the UAV image as the data source,and proposes an improved three-dimensional reconstruction technique based on sequence images,which provides technical support for the construction of smart cities and information construction.On the basis of studying the theory and algorithm of 3Dreconstruction of UAV sequence image,the RANSAC algorithm was improved,and an optimized sample sampling method and an adaptive threshold were used to verify the parameter model.Based on the in-depth study of patch multi-view dense reconstruction(PMVS)technology,an improved method for normal vector correction is proposed for the error problem of normal vectors during patch initialization.The fitting method finds the normal vector of the patch,and judges whether to correct the normal vector through the constraint conditions,so that the patch can better conform to the object surface model,thereby improving the optimization efficiency of the patch.In the patch expansion stage,the patch whose spatial point is projected closer to the center point on the image is selected as the initial patch for reselection and expansion,which improves the reconstruction accuracy of the structural model.The sequence images in the two areas collected by the UAV are used to verify the 3D reconstruction example.Compared with the original algorithm,the results show that the reconstruction accuracy and reconstruction efficiency have been significantly improved.