一种基于影像的古建筑点云生成方法An image-based method for generating point cloud model of ancient architecture
杨燈,危双丰,王坚
摘要(Abstract)：
针对现有古建筑数字化保护点云模型生成方法存在的诸多问题,该文采用增量式运动恢复结构技术构建了一种基于影像的古建筑点云模型生成方法,可简单、快速、低成本地实现古建筑点云生成。首先使用普通相机拍摄目标古建筑影像集并平滑预处理,然后使用运动恢复结构技术构建三维稀疏点云模型,最后密集点云加密处理并纹理映射得到古建筑三维点云模型。该方法创新性地将运动恢复结构技术引入古建筑点云生成领域。实验结果表明:该方法能快速构建古建筑三维点云模型,为古建筑数字化保护点云模型建立提供了一种新思路。
关键词(KeyWords)： 古建筑;三维点云模型;运动恢复结构;数字化保护
基金项目(Foundation): 国家重点研发计划资助项目（2016YFC0803103）;; 北京建筑大学研究生创新项目（PG2019054）
作者(Author): 杨燈,危双丰,王坚
DOI: 10.16251/j.cnki.1009-2307.2021.01.017
参考文献(References)：
- [1] 夏慧琼,朱庆,张叶廷,等.基于CAD与GIS集成的仿唐古建筑景观的三维重建方法[J].武汉大学学报(工学版),2005,38(5):114-119.(XIA Huiqiong,ZHU Qing,ZHANG Yeting,et al.3D Reconstruction of tang-dynastic architectures based on CAD and GIS integration[J].Engineering Journal of Wuhan University,2005,38(5):114-119.)
- [2] 高超,王国利,李群,等.基于多源数据的古塔三维精细化建模[J].工程勘察,2018(4):36-40.(GAO Chao,WANG Guoli,LI Qun,et al.Precise 3D reconstruction of ancient pogoda based on multi-source data[J].Geotechnical Investigation & Surveying,2018,46(4):36-40.)
- [3] 王聪华,郭霖蓉,周玲玲,等.古建筑布达拉宫金顶三维重建方法[J].计算机时代,2015(1):4-7.(WANG Conghua,GUO Linrong,ZHOU Lingling,et al.3D reconstruction methods of ancient buildings to the Potala Palace’s golden top[J].Computer Era,2015 (1):4-7.)
- [4] 郭复胜.无人机图像的三维重建方法研究[D].北京:中国科学院大学,2013.(GUO Fusheng.3D reconstruciotn from UAV images[D].Beijing:University of Chinese Academy of Sciences,2013.)
- [5] LUONG Q T.Matrice fondamentale et auto-calibration en vision par ordinateur[D].Paris:University of Paris,1992.
- [6] 夏其表,姜广宇,王洁,等.基于SFM算法的山核桃生长发育三维模型研究[J].电脑知识与技术,2018,14(18):252-254.(XIA Qibiao,JIANG Guangyu,WANG Jie,et al.Three-dimensional model study on growth and development of pecan based on SFM algorithm[J].Computer Knowledge and Technology,2018,14(18):252-254.)
- [7] 赵文强,林舟.SfM精细表面测量:分辨率和精度的评估及误差分析[J].地理与地理信息科学,2016,32(6):25-31.(ZHAO Wenqiang,LIN Zhou.SfM fine surface measurement:evaluation and error analysis of resolution and accuracy[J].Geography and Geographic Information Science,2016,32(6):25-31.)
- [8] 陈钰,张荣春,衣雪峰,等.基于运动恢复结构的非量测相机三维地质重建[J].现代测绘,2018,41(5):39-42.(CHEN Yu,ZHANG Rongchun,YI Xuefeng,et al.3D geological reconstruction of non-measurement camera based on motion recovery structure[J].Modern Mapping,2018,41(5):39-42.)
- [9] GAO X,SHEN S H,ZHOU Y,et al.Ancient Chinese architecture 3D preservation by merging ground and aerial point clouds[J].ISPRS Journal of Photogrammetry and Remote Sensing,2018.
- [10] 张祖勋,张剑清.数字摄影测量学[M].2版.武汉:武汉大学出版社,2014.(ZHANG Zuxun,ZHANG Jianqing.Digital photogrammetry[M].2nd ed.Wuhan:Whuhan University Press,2014.)
- [11] RUBLEE E,RABAUD V,KONOLIGE K,et al.ORB:an efficient alternative to SIFT or SURF[C]//IEEE International Conference on Computer Vision.[S.l.:s.n.],2011:2564-2571.
- [12] 崔希璋,刘大杰.最小二乘原理的进一步推广[J].测绘学报,1983,12(1):12-20.(CHUI Xizhang,LIU Dajie.Further extention of the squares principle[J].Acta Geodaetica et Cartographica Sinica,1983,12(1):12-20.)
- [13] HARTLEY R,ZISSERMAN A.Multiple view geometry in computer vision[M].Cambridge:Cambridge University Press,2003.
- [14] FISCHLER M A.Readings in computer vision ‖ random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J].Readings in Computer Vision,1987(1):726-740.
- [15] DAVID N.An efficient solution to the five-point relative pose problem[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2004,26(6):756-770.
- [16] 伊璐.基于立体视觉的场景三维重建技术研究[D].西安:西安理工大学,2017.(YI Lu.Research on 3D reconstruction technology based on stereoscopic vision[D].Xi’an:Xi’ an University of Technology,2017.)