Range Registration In 3D Reconstruction Of Ancient Architecture

As the development of protection of world cultural sites, the technology of computer-assisted sites protection has been the hotspot of the Computer Visualization Technology study. The digital is one of the major methods of preserving and promoting the culture sites. Due to the variety and complexity of the sites, it is still difficult to guarantee the accuracy in the digital of sites.Paper is mainly on the study of 3D virtual digital SMALL WILD GOOSE PAGODA, acquiring the point cloud data from 3D laser scanner. Research focused on point cloud data preprocessing, multi-view registration, point cloud data modeling aspects. Main contents are as follows:1) The pretreatment of point cloud data. Lots of researches of the organization of 3D point cloud data have been done. We have simplified the scenes point cloud data by the mixture method of random sampling and curvature sampling, and eliminated the singularities by using the median filtering, which reduced the volume of data effectively on the basis of assurance for the reliability of the original data.2) The segmentation of range image. The segmentation method brought forward by Stamos has been chosen by fitting the partial plane of point by the method of the least squares fitting and combining the similitude plane based on the co-normality and co-planarity. We have achieved the segmentation results of the range images and registered them on the basis of planar feature primarily.3) The registration of range image. We have studied and analyzed the classical ICP arithmetic, and improved it aiming at the structure features of the ancient architecture by relating the definition of planar feature and iterating the result of first-step-registration by the improved ICP arithmetic based on the square distance function, which implement the accurate registration of the range images of the SMALL WILD GOOSE PAGODA. 4) The reconstruction of point cloud data. The paper also has generated meshes by using method of Delaunay triangulation from the point cloud data simplified and registered and achieved the realistic 3D models, through the comparisons and researches of several common methods of 3D reconstruction.