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Link to original content: https://api.crossref.org/works/10.3390/RS16040695
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Our method focuses on two primary targets that determine the quality of the results: reduce the total number of contours, and generate compact surfaces between contours. Specifically, we implemented an iterative pipeline to gradually extract vital contours by loss and topological variance, and potential redundant contours will be removed in a post-processing procedure. Based on these vital contours, we extracted the planar primitives of buildings as references for contour refinement to obtain compact contours. The connection relationships between these contours are recovered for surface generation by a contour graph, which is constructed using multiple bipartite graphs. Then, a low-poly mesh can be generated from the contour graph using our contour-interpolation algorithm based on polyline splitting. The experiments demonstrated that our method produced satisfactory results and outperformed the previous methods.<\/jats:p>","DOI":"10.3390\/rs16040695","type":"journal-article","created":{"date-parts":[[2024,2,16]],"date-time":"2024-02-16T08:37:27Z","timestamp":1708072647000},"page":"695","source":"Crossref","is-referenced-by-count":1,"title":["Iterative Low-Poly Building Model Reconstruction from Mesh Soups Based on Contour"],"prefix":"10.3390","volume":"16","author":[{"given":"Xiao","family":"Xiao","sequence":"first","affiliation":[{"name":"College of Computer Science, Sichuan University, Chengdu 610065, China"}]},{"given":"Yuhang","family":"Liu","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China"}]},{"given":"Yanci","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science, Sichuan University, Chengdu 610065, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2857","DOI":"10.1109\/JSTARS.2021.3060568","article-title":"Toward building and civil infrastructure reconstruction from point clouds: A review on data and key techniques","volume":"14","author":"Xu","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"e624","DOI":"10.1016\/j.na.2008.11.081","article-title":"A novel computational paradigm for creating a Triangular Irregular Network (TIN) from LiDAR data","volume":"71","author":"Ali","year":"2009","journal-title":"Nonlinear Anal. Theory, Methods Appl."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/j.isprsjprs.2020.07.010","article-title":"Structure-aware Building Mesh Polygonization","volume":"167","author":"Bouzas","year":"2020","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Gao, X., Wu, K., and Pan, Z. (2022, January 7\u201311). Low-Poly Mesh Generation for Building Models. Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings, New York, NY, USA.","DOI":"10.1145\/3528233.3530716"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.isprsjprs.2021.01.006","article-title":"Feature-preserving 3D mesh simplification for urban buildings","volume":"173","author":"Li","year":"2021","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Huang, J., Stoter, J., Peters, R., and Nan, L. (2022). City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds. Remote Sens., 14.","DOI":"10.3390\/rs14092254"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1109\/JSTARS.2022.3232758","article-title":"Lightweight Reconstruction of Urban Buildings: Data Structures, Algorithms, and Future Directions","volume":"16","author":"Kamra","year":"2023","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2523","DOI":"10.1109\/TGRS.2006.874137","article-title":"Automatic Construction of Building Footprints From Airborne LIDAR Data","volume":"44","author":"Zhang","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Zhou, Q.Y., and Neumann, U. (2008, January 5). Fast and Extensible Building Modeling from Airborne LiDAR Data. Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, New York, NY, USA.","DOI":"10.1145\/1463434.1463444"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1109\/TGRS.2014.2312393","article-title":"Automatic Construction of 3-D Building Model From Airborne LIDAR Data Through 2-D Snake Algorithm","volume":"53","author":"Yan","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Wang, Y., Xu, H., Cheng, L., Li, M., Wang, Y., Xia, N., Chen, Y., and Tang, Y. (2016). Three-Dimensional Reconstruction of Building Roofs from Airborne LiDAR Data Based on a Layer Connection and Smoothness Strategy. Remote Sens., 8.","DOI":"10.3390\/rs8050415"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Yan, L., Li, Y., and Xie, H. (2021). Urban Building Mesh Polygonization Based on 1-Ring Patch and Topology Optimization. Remote Sens., 13.","DOI":"10.3390\/rs13234777"},{"key":"ref_13","first-page":"1","article-title":"UBMDP: Urban Building Mesh Decoupling and Polygonization","volume":"61","author":"Yan","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_14","unstructured":"Zhang, J., Li, L., Lu, Q., and Jiang, W. (2008, January 3\u201311). Contour clustering analysis for building reconstruction from LiDAR data. Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, China."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Li, L., Zhang, J., and Jiang, W. (November, January 30). Automatic complex building reconstruction from LIDAR based on hierarchical structure analysis. Proceedings of the MIPPR 2009: Pattern Recognition and Computer Vision, Yichang, China.","DOI":"10.1117\/12.832626"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Wu, B., Yu, B., Wu, Q., Yao, S., Zhao, F., Mao, W., and Wu, J. (2017). A Graph-Based Approach for 3D Building Model Reconstruction from Airborne LiDAR Point Clouds. Remote Sens., 9.","DOI":"10.3390\/rs9010092"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhang, C., Chen, S., and Chen, X. (2021). Automatic Reconstruction of Building Fa\u00e7ade Model from Photogrammetric Mesh Model. Remote Sens., 13.","DOI":"10.3390\/rs13193801"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"9636","DOI":"10.1109\/JSTARS.2021.3110429","article-title":"Optimal Model Fitting for Building Reconstruction From Point Clouds","volume":"14","author":"Zhang","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1660","DOI":"10.1109\/TGRS.2020.2995732","article-title":"Curved Buildings Reconstruction From Airborne LiDAR Data by Matching and Deforming Geometric Primitives","volume":"59","author":"Song","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"103090","DOI":"10.1016\/j.cad.2021.103090","article-title":"Parametric Surface Fitting on Airborne Lidar Point Clouds for Building Reconstruction","volume":"140","author":"Coiffier","year":"2021","journal-title":"Comput. Aided Des."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Qian, Y., Zhang, H., and Furukawa, Y. (2021, January 20\u201325). Roof-GAN: Learning To Generate Roof Geometry and Relations for Residential Houses. Proceedings of the 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA.","DOI":"10.1109\/CVPR46437.2021.00282"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Li, M., Wonka, P., and Nan, L. (2016, January 11\u201314). Manhattan-world Urban Reconstruction from Point Clouds. Proceedings of the European Conference on Computer Vision, Amsterdam, The Netherlands.","DOI":"10.1007\/978-3-319-46493-0_4"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Nan, L., and Wonka, P. (2017, January 22\u201329). PolyFit: Polygonal Surface Reconstruction from Point Clouds. Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV), Venice, Italy.","DOI":"10.1109\/ICCV.2017.258"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Liu, X., Zhang, Y., Ling, X., Wan, Y., Liu, L., and Li, Q. (2019). TopoLAP: Topology Recovery for Building Reconstruction by Deducing the Relationships between Linear and Planar Primitives. Remote Sens., 11.","DOI":"10.3390\/rs11111372"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Xie, L., Hu, H., Zhu, Q., Li, X., Tang, S., Li, Y., Guo, R., Zhang, Y., and Wang, W. (2021). Combined Rule-Based and Hypothesis-Based Method for Building Model Reconstruction from Photogrammetric Point Clouds. Remote Sens., 13.","DOI":"10.3390\/rs13061107"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.isprsjprs.2022.09.017","article-title":"Reconstructing compact building models from point clouds using deep implicit fields","volume":"194","author":"Chen","year":"2022","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Garland, M., and Heckbert, P.S. (1997, January 3). Surface simplification using quadric error metrics. Proceedings of the SIGGRAPH97: The 24th International Conference on Computer Graphics and Interactive Techniques, New York, NY, USA.","DOI":"10.1145\/258734.258849"},{"key":"ref_28","first-page":"103324","article-title":"Semantic-guided 3D building reconstruction from triangle meshes","volume":"119","author":"Wang","year":"2023","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_29","unstructured":"Heckbert, P.S., and Garland, M. (1997). Survey of Polygonal Surface Simplification Algorithms, School of Computer Science, Carnegie Mellon University. Technical Report."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2041","DOI":"10.1080\/13658816.2015.1038719","article-title":"A Localized Contour Tree Method for Deriving Geometric and Topological Properties of Complex Surface Depressions Based on High-Resolution Topographical Data","volume":"29","author":"Wu","year":"2015","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_31","first-page":"82","article-title":"Individual Tree Crown Delineation Using Localized Contour Tree Method and Airborne LiDAR Data in Coniferous Forests","volume":"52","author":"Wu","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_32","unstructured":"(2023, December 07). Helsingin Kaupungin Kaupunginkanslia, t.j.v. 3D Models of Helsinki. Available online: https:\/\/hri.fi\/data\/en_GB\/dataset\/helsingin-3d-kaupunkimalli."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/4\/695\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,16]],"date-time":"2024-02-16T08:52:20Z","timestamp":1708073540000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/4\/695"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,16]]},"references-count":32,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2024,2]]}},"alternative-id":["rs16040695"],"URL":"https:\/\/doi.org\/10.3390\/rs16040695","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,16]]}}}