| Technology and Methodology |
|
|
|
|
|
Expanding research on CSG in 3D reconstruction from LiDAR |
| ZHA Dajian1, LI Lelin1, JIANG Wangshou2, HAN Yongshun1 |
1. National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China;
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China |
|
|
|
|
Abstract To tackling such problems as primitive decomposition, primitive recognition, model integration in 3D model reconstruction with LiDAR data by using the CSG method, this paper proposes an expanding method for CSG. In this method, the clustering property of building contours is used for layers partition and primitives decomposition, then the styles of the primitives is recognized by combining the features of contours clusters and the contour reconstruction results. In this way, the process of primitives automatic recognition in CSG method is achieved. According to the primitive recognition result, the corresponding reconstruction method for the segmentation is selected, and the whole 3D model for complex building is automatically reconstructed by integrating the segmentation models based on a set of effective model integration rules at last. Experiment results of a wide range LiDAR data show that the proposed expanding CSG method is effective in the 3D reconstruction of complex buildings with LiDAR data.
|
| Keywords
coastline
Yellow River Estuary
remote sensing
change analysis
|
|
|
|
Issue Date: 20 October 2016
|
|
|
| [1] 朱庆.三维GIS技术进展[J].地理信息世界,2011,9(2):25-27,33. Zhu Q.Technical progress of three dimensional GIS[J].Geomatics World,2011,9(2):25-27,33.
[2] Yang Q X.A non-local cost aggregation method for stereo matching[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Providence,RI,USA:IEEE,2012:1402-1409.
[3] Zhang K,Fang Y Q,Min D B,et al.Cross-scale cost aggregation for stereo matching[C]//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition.Columbus,Ohio:IEEE,2014:1590-1597.
[4] 朱庆.三维GIS及其在智慧城市中的应用[J].地球信息科学学报,2014,16(2):151-157. Zhu Q.Full three-dimensional GIS and its key roles in smart city[J].Journal of Geo-information Science,2014,16(2):151-157.
[5] Elberink S O,Vosselman G.Building reconstruction by target based graph matching on incomplete laser data:Analysis and limitations[J].Sensors,2009,9(8):6101-6118.
[6] Lafarge F,Descombes X,Zerubia J,et al.Structural approach for building reconstruction from a single DSM[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2010,32(1):135-147.
[7] Huang H,Brenner C,Sester M.A generative statistical approach to automatic 3D building roof reconstruction from laser scanning data[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013,79:29-43.
[8] Xiong B,Elberink S O,Vosselman G.A graph edit dictionary for correcting errors in roof topology graphs reconstructed from point clouds[J].ISPRS Journal of Photogrammetry and Remote Sensing,2014,93:227-242.
[9] Sohn G,Huang X F,Tao V.Using a binary space partitioning tree for reconstructing polyhedral building models from airborne LiDAR data[J].Photogrammetric Engineering & Remote Sensing,2008,74(11):1425-1438.
[10] Zhou Q Y,Neumann U.2009.A streaming framework for seamless building reconstruction from large-scale aerial LiDAR data[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington,DC:IEEE,2009:2759-2766.
[11] Sampath A,Shan J.Segmentation and reconstruction of polyhedral building roofs from aerial LiDAR point clouds[J].IEEE Transactions on Geoscience and Remote Sensing,2010,48(3):1554-1567.
[12] Yan J X,Shan J,Jiang W S.A global optimization approach to roof segmentation from airborne LiDAR point clouds[J].ISPRS Journal of Photogrammetry and Remote Sensing,2014,94:183-193.
[13] Rottensteiner F.Consistent estimation of building parameters considering geometric regularities by soft constraints[C]//International Archives of Photogrammetry,Remote Sensing and Spatial Information Sciences.Bonn,Germany:IRPRS,2006,36:13-18.
[14] Wang C C L,Leung Y S,Chen Y.Solid modeling of polyhedral objects by layered depth-normal images on the GPU[J].Computer-Aided Design,2010,42(6):535-544.
[15] Bénière R,Subsol G,Gesquière G,et al.A comprehensive process of reverse engineering from 3D meshes to CAD models[J].Computer-Aided Design,2013,45(11):1382-1393.
[16] 李乐林,江万寿.基于等高线族分析的LiDAR点云建筑物模型自动识别及重建[J].测绘通报,2013(10):23-25,29. Li L L,Jiang W S.Automatic recognition and reconstruction of building models with LiDAR cloud points based on contours clustering[J]. Bulletin of Surveying and Mapping,2013(10):23-25,29.
[17] 李乐林,江万寿,张靖.利用极化角点指数进行数字曲线快速多边形近似[J].武汉大学学报:信息科学版,2009,34(12):1495-1498. Li L L,Jiang W S,Zhang J.Fast polygonal approximation of digital curve based on polarization cornerity index[J].Geomatics and Information Science of Wuhan University,2009,34(12):1495-1498. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
2016,
Vol. 28
