摘要
针对基于点云构建的建筑物模型通常存在的表面凹凸不平、边缘锯齿等现象,以及建筑物模型中存在的视觉效果不佳的问题,本文提出了一种基于倾斜影像三维线特征约束的三维模型优化方法。该方法以重叠区域为依据对线段进行质量评估与筛选。然后采用选权迭代思想对三维线段进行择优重构,以三角网为单元进行平面拟合与模型表面的纠正与优化,以三维线段为辅助对模型边缘的三角网进行纠正与优化。采用无人机倾斜摄影数据进行实验,将本文方法与Poisson表面重建方法进行了比较,结果表明本文方法有效地消除了平面凸包和边缘锯齿,边缘精度优化至1像素以内,平面精度优化至0.5像素,模型总体精度比Poisson表面重建方法提升了近1倍。此外,对比现有的完全基于点云模型重建算法,本文方法极大地改善了模型的视觉效果,保持了三维模型平面与边缘的特征,模型的边缘和表面精度都得到了提升。
Models that are built based on point cloud construction usually have uneven surfaces and jagged edges. Aiming at the problem of poor visual effect of these models,this paper proposes a three-dimensional(3 D) model optimization method based on the three-dimensional line feature constraint of oblique photography. First,based on the overlapping area,the quality evaluation and screening of the line segments are carried out. Second,the three-dimensional line segments are optimally reconstructed based on the iteration method with variable weights. Finally,the plane fitting and the correction and optimization of the model surface are obtained based on the triangulation,and the 3 D lines are used to correct and optimize the triangulation at the edge of the building. The method is compared with the Poisson surface reconstruction method. The results show that the proposed method effectively eliminates planar convex hull and edge sawtooth;the edge precision is optimized to within one pixel,and the plane precision is optimized to 0.5 pixels. The overall accuracy of the model is nearly double of that the Poisson surface reconstruction method.Compared with the existing surface reconstruction algorithms of based on point cloud features,the proposed method greatly improves the visual effect of the model,maintains the features of the 3 D model plane and edge,and improves the edge and surface accuracy of the model.
作者
曹林
王光霞
王玮琦
郭迎刚
CAO Lin;WANG Guangxia;WANG Weiqi;GUO Yinggang(School of Geospatial Information,Information Engineering University,Zhengzhou,450001,China)
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2020年第6期980-988,共9页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家重点研发计划(2017YFB0503500)资助项目。
关键词
倾斜摄影测量
线特征
三角网
模型优化
边缘优化
oblique photogrammetry
line feature
triangulation
model optimization
edge optimization
