Does HDR Pre-Processing Improve the Accuracy of 3D Models Obtained by Means of two Conventional SfM-MVS Software Packages? The Case of the Corral del Veleta Rock Glacier
Does HDR Pre-Processing Improve the Accuracy of 3D Models Obtained by Means of two Conventional SfM-MVS Software Packages? The Case of the Corral del Veleta Rock Glacier
复制标题
HDR预处理是否可以提高传统两个SfM-MVS软件包获得的3D模型的精度？
作者：
Á. Gómez‐Gutiérrez;J. J. Sanjosé;Javier Lozano‐Parra;Fernando Berenguer;Javier de Matías
测试了使用运动恢复结构和多视图立体技术（SfM-MVS）的不同工作流程的准确性。西班牙Corral del Veleta岩石冰川的12个点云是用两种不同的软件包（123D Catch和Agisoft Photoscan）制作的，使用低动态范围图像和高动态范围合成（HDR）三个不同年份（2011年，2012年和2014年）。使用地面激光扫描仪每年获得的基准模型评估所得到的点云的准确性。使用三个参数来估计每个点云的准确性：RMSE，云到云距离（C2C）和多尺度模型到模型比较（M3 C2）。M3 C2平均误差范围为0.084 m（标准差0.403 m）至1.451 m（标准差1.625 m）。Agisoft Photoscan克服了123D Catch，在12种情况下产生了11种更准确，更密集的点云，这项工作是文献中两种软件包之间的首次比较。使用HDR预处理未观察到显著改善。据我们所知，这是第一次比较使用LDR和HDR合成获得的3D模型的几何精度。这些研究结果可能是感兴趣的研究人员谁希望估计地貌变化使用SfM-MVS方法。
The accuracy of different workflows using Structure-from-Motion and Multi-View-Stereo techniques (SfM-MVS) is tested. Twelve point clouds of the Corral del Veleta rock glacier, in Spain, were produced with two different software packages (123D Catch and Agisoft Photoscan), using Low Dynamic Range images and High Dynamic Range compositions (HDR) for three different years (2011, 2012 and 2014). The accuracy of the resulting point clouds was assessed using benchmark models acquired every year with a Terrestrial Laser Scanner. Three parameters were used to estimate the accuracy of each point cloud: the RMSE, the Cloud-to-Cloud distance (C2C) and the Multiscale-Model-to-Model comparison (M3C2). The M3C2 mean error ranged from 0.084 m (standard deviation of 0.403 m) to 1.451 m (standard deviation of 1.625 m). Agisoft Photoscan overcome 123D Catch, producing more accurate and denser point clouds in 11 out 12 cases, being this work, the first available comparison between both software packages in the literature. No significant improvement was observed using HDR pre-processing. To our knowledge, this is the first time that the geometrical accuracy of 3D models obtained using LDR and HDR compositions are compared. These findings may be of interest for researchers who wish to estimate geomorphic changes using SfM-MVS approaches.