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Laser point cloud diluting and refined 3D reconstruction fusing with digital images

机译:激光点云稀释和精制3D重建与数字图像融合

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This paper shows a method to combine the imaged-based modeling technique and Laser scanning data to rebuild a realistic 3D model Firstly use the image pair to build a relative 3D model of the object, and then register the relative model to the Laser coordinate system. Project the Laser points to one of the images and extract the feature lines from that image. After that fit the 2D projected Laser points to lines in the image and constrain their corresponding 3D points to lines in the 3D Laser space to keep the features of the model. Build TIN and cancel the redundant points, which don't impact the curvature of their neighborhood areas, Use the diluting Laser point cloud to reconstruct the geometry model of the object, and then project the texture of corresponding image onto it The process is shown to be feasible and progressive proved by experimental results, The final model is quite similar with the real object, This method cuts down the quantity of data in the precondition of keeping the features of model The effect of it is manifest.
机译:本文示出了一种组合基于成像的建模技术和激光扫描数据来重建现实3D模型的方法首先使用图像对来构建对象的相对3D模型,然后将相对模型注册到激光坐标系。将激光投射到其中一个图像并从该图像中提取特征线。之后将2D投影激光指向图像中的线条,并将其相应的3D点限制为3D激光空间中的线以保持模型的特征。构建锡并取消冗余点,不会影响其邻域区域的曲率,使用稀释的激光点云重建对象的几何模型,然后将相应图像的纹理投影到它上面的过程显示通过实验结果证明是可行和渐进的,最终模型与真实对象非常相似,这种方法在保留模型特征的前提下削减了数据的效果,这是明显的。

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