地理空间信息2024，Vol.22Issue(5)：45-48,4.
结合改进RANSAC算法的建筑物点云色彩增强方法
Color Enhancement Method of Building Point Cloud Combined with Improved RANSAC Algorithm
摘要
Abstract
According to the fact that buildings in colored 3D point cloud having poor visual effect due to the shadow,we presented a new color enhancement method for dark parts of buildings based on building surface segmentation.Fristly,we used the improved random sample consensus(RANSAC)algorithm to conduct surface segmentation of buildings and proposed a light vector to divide the segmentation results into dark and bright surfaces.Then,we conducted color enhancement for the dark surfaces alone.The experimental results show that the proposed method can effectively improve the visual effect of 3D point cloud buildings.The brightness and contrast of building point cloud are enhanced while the buildings'style is maintained,and the influence of building shadows on the visual effect is eliminated partly.The proposed method can be applied to all kinds of 3D point cloud projects with buildings as the main body.关键词
点云/建筑物/色彩增强/RANSACKey words
point cloud/building/color enhancement/RANSAC分类
天文与地球科学引用本文复制引用
陈朴一,刘涛,杜萍,马天恩,令振飞..结合改进RANSAC算法的建筑物点云色彩增强方法[J].地理空间信息,2024,22(5):45-48,4.基金项目
国家自然科学基金资助项目(42261076、42061060). （42261076、42061060）
