The invention relates to an unmanned aerial vehicle
aerial photography sequence image-based slope three-dimension
reconstruction method. The method includes the following steps that: feature region matching and feature
point pair extraction are performed on un-calibrated unmanned aerial vehicle multi-view
aerial photography sequence images through adopting a
feature matching-based
algorithm; the geometric structure of a slope and the motion parameters of a camera are calculated through adopting
bundle adjustment structure from motion and based on disorder matching feature points, and therefore, a sparse slope three-dimensional
point cloud model can be obtained; the sparse slope three-dimensional
point cloud model is processed through adopting a patch-based multi-view stereo vision
algorithm, so that the sparse slope three-dimensional
point cloud model can be diffused to a dense slope three-dimensional point cloud model; and the surface mesh of the slope is reconstructed through adopting Poisson
reconstruction algorithm, and the texture information of the surface of the slop is mapped onto a
mesh model, and therefore, a vivid three-dimensional slope model with
high resolution can be constructed. The unmanned aerial vehicle
aerial photography sequence image-based slope three-dimension
reconstruction method of the invention has the advantages of low cost, flexibility, portability, high imaging resolution, short operating period, suitability for survey of high-risk areas and the like. With the method adopted, the application of low-altitude
photogrammetry and
computer vision technology to the geological
engineering disaster prevention and reduction field can be greatly prompted.