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A Approach to Sudden Occurred Disaster-Scene 3D Fast Reconstruction

机译:突发性突发事件3D快速重建的一种方法

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摘要

In this paper, we propose an approach to Sudden occurred disaster-Scene 3D fast reconstruction based on UAV sequence images. In this method, Harris feature point and SIFT feature vector is used to distill image feature, achieve images matching; quasi-perspective projection model and factorization is employed to calibrate the uncalibrated image sequences automatically; Efficient suboptimal solutions to the optimal triangulation is plied to obtain the coordinate of 3D points; quasi-dense diffusing algorithm is bestowed to make 3D point denseness; bundle adjustment algorithm is betaken to improve the precision of 3D points; Poisson surface reconstruction approach is used to make 3D points gridded. Sudden occurred disasterScene 3D fast reconstruction on this way can provide base geographic environment platform to analysis of disaster and subsequent decision-making of disaster reduction.
机译:在本文中,我们提出了一种基于无人机序列图像的突发性灾害现场3D快速重建方法。该方法利用Harris特征点和SIFT特征向量提取图像特征,实现图像匹配。采用准透视投影模型和因式分解来自动校准未校准的图像序列。对最佳三角剖分的有效次优解进行拼合以获得3D点的坐标。采用准密集扩散算法,使3D点密度提高。 Betaken提供了束调整算法,以提高3D点的精度;泊松曲面重建方法用于制作3D点网格。突发灾害通过这种方式进行3D快速重建,可以为灾害分析和减灾后续决策提供基础的地理环境平台。

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