摘要
针对彩色三维点云中因建筑物阴影导致可视化效果不好的问题,提出了一种以建筑物面分割为基础对建筑物局部进行色彩增强的方法。首先采用改进随机抽样一致性(RANSAC)算法对建筑物进行表面分割,并提出光照向量的概念将表面分割结果分为阴面与阳面;再单独针对阴面进行色彩增强。实验表明,该方法有效改善了三维点云建筑物的视觉效果,在保证建筑物风格一致的前提下提高了建筑物点云的整体亮度与对比度,可在一定程度上消除建筑物阴影对可视化效果的影响,适用于各类以建筑物为主体的点云实景三维工程。
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.
作者
陈朴一
刘涛
杜萍
马天恩
令振飞
CHEN Puyi;LIU Tao;DU Ping;MA Tian’en;LING Zhenfei(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring,Lanzhou 730070,China;Gansu Provincial Engineering Laboratory for National Geographic State Monitoring,Lanzhou 730070,China)
出处
《地理空间信息》
2024年第5期45-48,共4页
Geospatial Information
基金
国家自然科学基金资助项目(42261076、42061060)。
