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倾斜摄影三维模型中水域空洞的自动识别与修复

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水域具有独特的光学反射特性,在倾斜摄影测量数据生成的模型中易导致空洞产生.为保证三维模型的完整性和显示效果,需要对水域空洞进行识别与修复.由于倾斜摄影模型内部存在大量独立的几何体,采用常规的三角网拓扑关系提取水域空洞轮廓线时会提取出所有几何体的边界轮廓线,导致无法准确识别水域空洞边界.针对此问题,本文提出了一种基于坐标转换和图像边缘检测获取水域空洞轮廓线的新方法:首先,根据OSGB模型中Z轴方向上是否存在三维点绘制水域空洞二值图,并对二值图像进行边缘检测获取水域空洞的二维轮廓线;再通过坐标转换获取水域空洞的三维轮廓线,对三维轮廓线进行约束构网、纹理映射,得到水域空洞的几何体并将绘制的水域几何体切割融合到不同的模型文件;最终实现水域空洞轮廓的自动识别以及水域空洞的自动修复.
Automatic recognition and repair of water holes in oblique photographic 3D models
Water area has unique optical reflection characteristics,which easily leads to voids in the model gen-erated by tilt photogrammetry data.In order to ensure the integrity and display effect of the three-dimensional model,it is necessary to identify and repair the water holes.Because there are a large number of independent geometric bodies in the oblique photography model,the boundary contours of all geometric bodies will be extrac-ted when the conventional triangulation topological relationship is used to extract the contour lines of water holes,which leads to the inability to accurately identify the boundary of water holes.To solve this problem,this paper proposes a new method based on coordinate transformation and image edge detection to obtain the contour of water cavity.Firstly,according to whether there are three-dimensional points in Z-axis direction in OSGB model,the binary image of water cavity is drawn,and the two-dimensional contour line of water holes is ob-tained by edge detection of binary image.Secondly,the three-dimensional contour of water holes is obtained by coordinate transformation,and the three-dimensional contour is constrained and meshed,and texture mapping is carried out to obtain the geometry of water hole,and the drawn geometry is cut and fused into different model files.Finally,the water holes contour canbe automatically recognized and repaired.

oblique photographyedge detectioncontour thinning2D and 3D coordinate conversionholes repair

车德福、陈峰、马保东、李宗辉、钟壬清

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东北大学资源与土木工程学院,沈阳 110819

倾斜摄影 边缘检测 轮廓线抽稀 二三维坐标转换 空洞修复

国家自然科学基金项目

41871310

2024

桂林理工大学学报
桂林理工大学

桂林理工大学学报

CSTPCD北大核心
影响因子:0.618
ISSN:1674-9057
年,卷(期):2024.44(3)