利用照片重建技术生成坡面侵蚀沟三维模型  

Generating 3D model of slope eroded gully based on photo reconstruction technique

作　　者：李俊利[1] 李斌兵[2] 柳方明 李占斌[3] 

机构地区：[1]武警工程大学研究生管理大队,西安710086 [2]武警工程大学信息工程系,西安710086 [3]西安理工大学水利水电学院,西安710048

出　　处：《农业工程学报》2015年第1期125-132,共8页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金项目"黄土丘陵区切沟侵蚀过程的三维数值模拟研究(41171224)";水利部黄土高原水土流失过程与控制重点试验室开放课题基金项目"黄土沟壑区切沟沟岸侵蚀监测及不确定性研究(201402)"

摘　　要：该文利用运动恢复结构(structure from motion,SFM)、多视图立体视觉(multi-view stereo,MVS)技术,提出了一种坡面侵蚀沟三维模型的快速重建方法。首先对普通相机拍摄的照片采用尺度不变特征变换(scale-invariant feature transform,SIFT)完成特征点的提取与描述,随机采样一致性算法(random sample and consensus,RANSAC)过滤掉最近邻匹配(nearest neighbor,NN)产生的误匹配点;然后通过SFM方法,迭代求解出相机矩阵和三维点坐标,用光束法平差(bundle adjustment,BA)进行非线性优化,确保误差的均匀分布和模型的精确;再使用基于面片的多视图立体视觉算法(patch-based multi-view stereo,PMVS),在局部光度一致性和全局可见性约束下,以SFM生成的稀疏点云为种子面片开始扩散,完成点云稠密重建。将照片快速重建方法获取的点云与地面激光扫描仪(terrestrial laser scanner,TLS)获取的点云及实测数据进行比较,结果表明,照片重建方法生成的点云稠密且能够完整展示侵蚀沟的发育形态,与TLS点云间的平均距离为0.0034 m,照片重建与三维激光扫描方法对侵蚀量的估算相对误差为8.054%,提取的特征线匹配率达89.592%。研究结果为侵蚀沟监测提供了参考依据。Based on Structure from Motion（SFM） and Multi-View Stereo（MVS） techniques, this paper proposed a rapid 3d reconstruction method of slope eroded gully. Firstly, feature points were extracted and described by using the Scale-Invariant Feature Transform（SIFT）, and then Random Sample and Consensus（RANSAC） algorithm was applied to filter inaccurate matching points generated by Nearest Neighbor（NN） algorithm; Secondly, in the condition that there were no camera parameters and scenario-based three-dimensional information, SFM was used because it provided a solution to iterate and get camera matrix and 3d point coordinates. During the iterating process, Bundle Adjustment（BA） algorithm was used for nonlinear optimizing and to ensure symmetrical distribution of the error in order to keep precision of the reconstructed model;After that, with the constraints of local photometric consistency and global visibility, Patch-Based Multi-View Stereo（PMVS） algorithm was adopted to expand sparse point cloud generated by SFM. Thus far the dense reconstruction of point cloud had finished. In order to validate the rationality and accuracy of using this method to monitor gully erosion, indoor runoff scouring experiment was conducted in“hydrology and water resources”laboratory at Xi’an University of Technology. Photos used in the reconstruction were taken by Canon 550d SLR camera. Because modeling process relied on tracking with the oriented point on the subject to determine the final 3d model of point set, so two adjacent photos’ differential seat angle can’t be too large, in case of losing trace points. Reasonable selection of photo shooting location, trajectory and angle should be considered according to the experimental environment and conditions. This paper used the VisualSFM software to complete detecting and matching of feature points, sparse reconstructing of point cloud as well as self-calibrating of camera;used CMVS and PMVS2 tools to finish dense reconstruction, and Meshlab to achieve visua

关 键 词：侵蚀 机器视觉 激光 照片重建 点云 冲刷试验 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]