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Point cloud, an efficient 3D object representation, has become popular with the development of depth sensing and 3D laser scanning techniques.
Fast range image segmentation using high-level segmentation primitives
Xiaoyi Y Jiang, Urs Meier, and Horst Bunke · 1996
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Spectral graph theory
F. K. Chung · 1997
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Surface clustering from airborne laser scanning data
Sagi Filin · 2002
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Lecture 2 of spectral graph theory and its applications
D. A. Spielman · 2004
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A new model for learning in graph domains
Marco Gori, Gabriele Monfardini, and Franco Scarselli · 2005
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Segmentation of point clouds using smoothness constraint
Tahir Rabbani, Frank Van Den Heuvel, and George Vosselmann · 2006
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Hough-transform and extended ransac algorithms for automatic detection of 3d building roof planes from lidar data
Fayez Tarsha-Kurdi, Tania Landes, and Pierre Grussenmeyer · 2007
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Unsupervised robust planar segmentation of terrestrial laser scanner point clouds based on fuzzy clustering methods
Josep Miquel Biosca and José Luis Lerma · 2008
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Towards 3d point cloud based object maps for household environments
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow, Mihai Dolha, and Michael Beetz · 2008
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Point cloud segmentation through spectral clustering
Teng Ma, Zhuangzhi Wu, Lu Feng, Pei Luo, and Xiang Long · 2010
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Edge-adaptive transforms for efficient depth map coding
Godwin Shen, W-S Kim, Sunil K Narang, Antonio Ortega, Jaejoon Lee, and Hocheon Wey · 2010
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Wavelets on graphs via spectral graph theory
David K Hammond, Pierre Vandergheynst, and Rémi Gribonval · 2011
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Depth map compression using multi-resolution graph-based transform for depth-image-based rendering
Wei Hu, Gene Cheung, Xin Li, and Oscar C. Au · 2012
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Spectral networks and locally connected networks on graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2013
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A methodology for automated segmentation and reconstruction of urban 3-d buildings from als point clouds
Dong Chen, Liqiang Zhang, P Takis Mathiopoulos, and Xianfeng Huang · 2014
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Convolutional networks on graphs for learning molecular fingerprints
David K Duvenaud, Dougal Maclaurin, Jorge Iparraguirre, Rafael Bombarell, Timothy Hirzel, Alán Aspuru-Guzik, and Ryan P Adams · 2015
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Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
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Learning convolutional neural networks for graphs
Mathias Niepert, Mohamed Ahmed, and Konstantin Kutzkov · 2016
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Use cases for point cloud compression (pcc)
C. Tulvan, R. Mekuria, and Z. Li · 2016
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A scalable active framework for region annotation in 3d shape collections
Li Yi, Vladimir G Kim, Duygu Ceylan, I Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas Guibas, et al · 2016
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Mikael Henaff, Joan Bruna, and Yann LeCun · 2015
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Multiresolution graph fourier transform for compression of piecewise smooth images
Wei Hu, Gene Cheung, Antonio Ortega, and Oscar C. Au · 2015
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Voxnet: A 3d convolutional neural network for real-time object recognition
Daniel Maturana and Sebastian Scherer · 2015
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Multi-view convolutional neural networks for 3d shape recognition
Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik Learned-Miller · 2015
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Accelerated filtering on graphs using lanczos method
Ana Susnjara, Nathanael Perraudin, Daniel Kressner, and Pierre Vandergheynst · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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Li Yi, Hao Su, Xingwen Guo, and Leonidas Guibas · 2016
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Cayleynets: Graph convolutional neural networks with complex rational spectral filters
Ron Levie, Federico Monti, Xavier Bresson, and Michael M Bronstein · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2017
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Dynamic graph cnn for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon · 2018
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