Intact Planar Abstraction of Buildings via Global Normal Refinement from Noisy Oblique Photogrammetric Point Clouds
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Qing Zhu | Feng Wang | Weixi Wang | Han Hu | Ruofei Zhong | Jiali Xie | Yulin Ding | Qing Zhu | Han Hu | Yulin Ding | Weixi Wang | Ruofei Zhong | Jiali Xie | Feng Wang
[1] Qingquan Li,et al. An Improved Method for Power-Line Reconstruction from Point Cloud Data , 2016, Remote. Sens..
[2] Florentin Wörgötter,et al. Object Partitioning Using Local Convexity , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Pavel Smrz,et al. Continuous plane detection in point-cloud data based on 3D Hough Transform , 2014, J. Vis. Commun. Image Represent..
[4] S. J. Oude Elberink,et al. Building modeling from noisy photogrammetric point clouds , 2014 .
[5] David G. Lowe,et al. Scalable Nearest Neighbor Algorithms for High Dimensional Data , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Florentin Wörgötter,et al. Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Fabio Remondino,et al. State of the art in high density image matching , 2014 .
[8] Maks Ovsjanikov,et al. PCPNet Learning Local Shape Properties from Raw Point Clouds , 2017, Comput. Graph. Forum.
[9] Reinhard Klein,et al. Efficient RANSAC for Point‐Cloud Shape Detection , 2007, Comput. Graph. Forum.
[10] Ji-Hwan Kim,et al. New approach to accuracy verification of 3D surface models: An analysis of point cloud coordinates. , 2016, Journal of prosthodontic research.
[11] Abdul Nurunnabi,et al. Outlier detection and robust normal-curvature estimation in mobile laser scanning 3D point cloud data , 2015, Pattern Recognit..
[12] Michela Bertolotto,et al. Octree-based region growing for point cloud segmentation , 2015 .
[13] Qing Zhu,et al. Robust point cloud classification based on multi-level semantic relationships for urban scenes , 2017 .
[14] C. Lin,et al. Eigen-feature analysis of weighted covariance matrices for LiDAR point cloud classification , 2014 .
[15] Xiao Xiang Zhu,et al. Automatic Feature-Based Geometric Fusion of Multiview TomoSAR Point Clouds in Urban Area , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[16] Radu Bogdan Rusu,et al. 3D is here: Point Cloud Library (PCL) , 2011, 2011 IEEE International Conference on Robotics and Automation.
[17] Linfu Xie,et al. An asymmetric re-weighting method for the precision combined bundle adjustment of aerial oblique images , 2016 .
[18] Yusheng Xu,et al. Segmentation of building roofs from airborne LiDAR point clouds using robust voxel-based region growing , 2017 .
[19] F. Remondinob,et al. ORIENTATION OF OBLIQUE AIRBORNE IMAGE SETS-EXPERIENCES FROM THE ISPRS / EUROSDR BENCHMARK ON MULTI-PLATFORM PHOTOGRAMMETRY , 2016 .
[20] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[21] F. Pukelsheim. The Three Sigma Rule , 1994 .
[22] Nico Blodow,et al. Fast Point Feature Histograms (FPFH) for 3D registration , 2009, 2009 IEEE International Conference on Robotics and Automation.
[23] Derek Nowrouzezahrai,et al. Extracting lines of curvature from noisy point clouds , 2009, Comput. Aided Des..
[24] Peng Li,et al. 3-D Point Cloud Object Detection Based on Supervoxel Neighborhood With Hough Forest Framework , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[25] Manuel Menezes de Oliveira Neto,et al. Real-time detection of planar regions in unorganized point clouds , 2015, Pattern Recognit..
[26] Li Li,et al. PAIRWISE LINKAGE FOR POINT CLOUD SEGMENTATION , 2016 .
[27] Alexandre Boulch,et al. Deep Learning for Robust Normal Estimation in Unstructured Point Clouds , 2016, Comput. Graph. Forum.
[28] Ben Jarihani,et al. Assessment of UAV and Ground-Based Structure from Motion with Multi-View Stereo Photogrammetry in a Gullied Savanna Catchment , 2017, ISPRS Int. J. Geo Inf..
[29] Mathias Rothermel,et al. Extracting 3D urban models from oblique aerial images , 2015, 2015 Joint Urban Remote Sensing Event (JURSE).
[30] Hossein Arefi,et al. 3D Semantic Labeling using Region Growing Segmentation Based on Structural and Geometric Attributes , 2017 .
[31] Supun Samarasekera,et al. Building segmentation for densely built urban regions using aerial LIDAR data , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Qingquan Li,et al. An Improved Method for PowerLine Reconstruction from Point Cloud Data , 2016 .
[33] M. J. Ramón,et al. Virtual Directions in Paleomagnetism: A Global and Rapid Approach to Evaluate the NRM Components , 2017, Front. Earth Sci..
[34] Andrey Dimitrov,et al. Non‐Uniform B‐Spline Surface Fitting from Unordered 3D Point Clouds for As‐Built Modeling , 2016, Comput. Aided Civ. Infrastructure Eng..
[35] J. Shan,et al. A global optimization approach to roof segmentation from airborne lidar point clouds , 2014 .
[36] Bisheng Yang,et al. An efficient global energy optimization approach for robust 3D plane segmentation of point clouds , 2018 .
[37] Cheng Wang,et al. Toward better boundary preserved supervoxel segmentation for 3D point clouds , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.
[38] F. Tarsha-Kurdi,et al. Hough-Transform and Extended RANSAC Algorithms for Automatic Detection of 3D Building Roof Planes from Lidar Data , 2007 .
[39] Marc Pouget,et al. Estimating differential quantities using polynomial fitting of osculating jets , 2003, Comput. Aided Geom. Des..
[40] Lei Tang,et al. An Improved RANSAC for 3D Point Cloud Plane Segmentation Based on Normal Distribution Transformation Cells , 2017, Remote. Sens..
[41] Azriel Rosenfeld,et al. Digital topology: Introduction and survey , 1989, Comput. Vis. Graph. Image Process..
[42] Yang Yu,et al. An adaptive variation model for point cloud normal computation , 2015, Neural Computing and Applications.
[43] Daniel Cohen-Or,et al. Consolidation of unorganized point clouds for surface reconstruction , 2009, ACM Trans. Graph..
[44] Qing Zhu,et al. Stable least-squares matching for oblique images using bound constrained optimization and a robust loss function , 2016 .
[45] Z. Du,et al. Reliable Spatial Relationship Constrained Feature Point Matching of Oblique Aerial Images , 2015 .
[46] T. Rabbani,et al. SEGMENTATION OF POINT CLOUDS USING SMOOTHNESS CONSTRAINT , 2006 .
[47] Xianfeng Huang,et al. A Methodology for Automated Segmentation and Reconstruction of Urban 3-D Buildings from ALS Point Clouds , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[48] Yugang Tian,et al. LiDAR Filtering of Urban Areas With Region Growing Based on Moving-Window Weighted Iterative Least-Squares Fitting , 2017, IEEE Geoscience and Remote Sensing Letters.
[49] Daniel Cohen-Or,et al. ℓ1-Sparse reconstruction of sharp point set surfaces , 2010, TOGS.
[50] Yanming Chen,et al. Multiscale Grid Method for Detection and Reconstruction of Building Roofs from Airborne LiDAR Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[51] Yu-ze Nie,et al. An Algorithm of Combining Delaunay TIN Models and Region Growing for Buildings Extraction , 2017 .
[52] Yi-Hsing Tseng,et al. Surface Reconstruction from LiDAR Data with Extended Snake Theory , 2007, EMMCVPR.