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Keyword

point cloud segmentation

Description: The task of partitioning a three-dimensional point cloud into meaningful regions or objects, typically for geometric analysis and scene understanding.
OpenAlex ID: keywords/point-cloud-segmentation
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
2017 · Qi, Charles R., Yi, Li, et al. · arXiv (Cornell University) · 9,447
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3D is here: Point Cloud Library (PCL)
2011 · Radu Bogdan Rusu, Steve Cousins · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 4,895
Transformers in Vision: A Survey
2022 · Salman Khan, Muzammal Naseer, et al. · ACM Computing Surveys · 3,582
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KPConv: Flexible and Deformable Convolution for Point Clouds
2019 · Hugues Thomas, Charles R. Qi, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 3,386
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PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud
2019 · Shaoshuai Shi, Xiaogang Wang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 3,090
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LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
2018 · Tixiao Shan, Brendan Englot · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 2,288
Graph-based approach for airborne light detection and ranging segmentation
2017 · David L. Vilariño, José C. Cabaleiro, et al. · Journal of Applied Remote Sensing · 1,720
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Relation-Shape Convolutional Neural Network for Point Cloud Analysis
2019 · Yongcheng Liu, Bin Fan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,024
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
2019 · Hengshuang Zhao, Li Jiang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 891
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
2020 · Xu Yan, Chaoda Zheng, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 713
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Octree-based region growing for point cloud segmentation
2015 · Anh-Vu Vo, Linh Truong-Hong, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 657
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
2020 · Saining Xie, Jiatao Gu, et al. · Lecture notes in computer science · 654
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PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
2021 · Mutian Xu, Runyu Ding, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 555
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Point convolutional neural networks by extension operators
2018 · Matan Atzmon, Haggai Maron, et al. · ACM Transactions on Graphics · 546
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Recurrent Slice Networks for 3D Segmentation of Point Clouds
2018 · Qiangui Huang, Weiyue Wang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 510
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Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
2020 · Yuxing Xie, Jiaojiao Tian, et al. · IEEE Geoscience and Remote Sensing Magazine · 484
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Deep Parametric Continuous Convolutional Neural Networks
2018 · Shenlong Wang, Simon Suo, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 474
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Segmentation of point clouds using smoothness constraints
2006 · Tahir Rabbani, Frank Van den Heuvel, et al. · University of Twente Research Information · 464
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A Review of Point Clouds Segmentation and Classification Algorithms
2017 · E. Grilli, F. Menna, et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 445
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Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points
2011 · Sylvie Soudarissanane, Roderik Lindenbergh, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 421
Shape-based recognition of 3D point clouds in urban environments
2009 · Aleksey Golovinskiy, Vladimir G Kim, et al. · IEEE International Conference on Computer Vision (ICCV) · 415
Local Spectral Graph Convolution for Point Set Feature Learning
2018 · Chu Wang, Babak Samari, et al. · Lecture notes in computer science · 406
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Knowledge based reconstruction of building models from terrestrial laser scanning data
2009 · Shi Pu, George Vosselman · ISPRS Journal of Photogrammetry and Remote Sensing · 396
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
2020 · Zhe Liu, Xin Zhao, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 393
Dimensionality Based Scale Selection in 3d Lidar Point Clouds
2012 · J. Demantké, C. Mallet, et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 372
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Works count: 5,742
Citation count: 103,200
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