3D model construction of ancient buildings based on point cloud data and oblique images
The problems of structure loss, low accuracy, image distortion, and holes caused by the use of single technical means in three-dimensional (3D) modeling of ancient buildings occur during measurement. Therefore, a method for constructing 3D models of ancient buildings based on oblique images and point cloud data was studied. Unmanned aerial vehicles (UAV) and laser scanners were utilized to collect oblique image data and laser point cloud data of ancient buildings, and the above data was preprocessed. The two kinds of data were fused through a new feature point registration algorithm, so as to obtain accurate and complete 3D data of ancient buildings. The contour lines of ancient buildings were extracted, and Revit software was used to construct 3D models of ancient buildings. The resulting model texture was mapped to achieve 3D model construction of ancient buildings. The experimental results show that this method can obtain complete and high-precision 3D data of ancient buildings, and the accuracy and completeness of the 3D model of ancient buildings constructed based on this method are high. Moreover, the structure is clear; the texture is clear, and the effect is lifelike, indicating excellent modeling performance.
unmanned aerial vehicle (UAV) measurementoblique imagethree-dimensional (3D) laser scannerpoint cloud dataancient buildings3D model construction
万方数据
维普
