Simulation Analysis of Scene Restoration of Damaged Ancient Building in Virtual Reality Environment
In order to obtain the complete structure of damaged ancient buildings and restore their original appear-ance,a restoration method for damaged ancient building scenes in virtual reality environment was proposed.Firstly,scanners,control devices and power supplies were used to construct a laser scanning system.Then,the specific posi-tion of the scanning point was calculated by the time difference between the emission and reflection of light.Mean-while,the point cloud data of the ancient building was collected.Moreover,the bilateral filtering method was used to remove the noise of the point cloud and construct a triangular mesh.Furthermore,the mesh was divided by octree structure,thus reducing the point cloud data.After that,a normal vector segmentation line was built to segment the point cloud data,thus extracting the point cloud features.Finally,the functions of image design and three-dimensional modeling of virtual reality technology were utilized to establish a scale transformation matrix combined with the point cloud data,and thus to render image contours and textures.According to the color characteristics of ancient buildings,the scale segmentation lines of damaged and integral parts were generated,and the scene restoration was realized by the feature matching.Experimental results show that the restored scene has higher clarity and completeness,and the structural size has a smaller error compared to the actual size.
Virtual realityDamaged ancient buildingsScene restorationBilateral filteringOctree algorithm
NETL
NSTL
万方数据
