SegMatch: Segment based place recognition in 3D point clouds

时间 2020-12-30

标签 slam 栏目 Java开源繁體版

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R. Dube, D. Dugas, E. Stumm, et al. SegMatch: Segment based place recognition in 3D point clouds. IEEE International Conference on Robotics and Automation, 5266-5272, 2017. 摘要 Dube等人首次提出基于分割的3D点云场景识别方

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1. Literature Review: Incremental Segment-Based Localization in 3D Point Clouds
2. 3D Point Clouds-1
3. 【点云识别】Learning to Segment 3D Point Clouds in 2D Image Space (CVPR 2020)
4. FlowNet3D - Learning Scene Flow in 3D Point Clouds[CVPR2019]
5. Convolutional Neural Network-based Place Recognition
6. Scan Context: Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud Map
7. 3D Shape Classification——Point-based Graph based
8. 【3D计算机视觉】Deep Hough Voting for 3D Object Detection in Point Clouds
9. Ground Segmentation based on Loopy Belief Propagation for Sparse 3D Point Clouds （论文速读）
10. Point Cloud 2019
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1. Literature Review: Incremental Segment-Based Localization in 3D Point Clouds
2. 3D Point Clouds-1
3. 【点云识别】Learning to Segment 3D Point Clouds in 2D Image Space (CVPR 2020)
4. FlowNet3D - Learning Scene Flow in 3D Point Clouds[CVPR2019]
5. Convolutional Neural Network-based Place Recognition
6. Scan Context: Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud Map
7. 3D Shape Classification——Point-based Graph based
8. 【3D计算机视觉】Deep Hough Voting for 3D Object Detection in Point Clouds
9. Ground Segmentation based on Loopy Belief Propagation for Sparse 3D Point Clouds （论文速读）
10. Point Cloud 2019

>>更多相关文章<<