SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud

Xiangrui Zhao; Sheng Yang; Tianxin Huang; Jun Chen; Teng Ma; Mingyang Li; Yong Liu

doi:10.1007/978-3-031-20077-9_16

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SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud

Xiangrui Zhao Sheng Yang Tianxin Huang Jun Chen Teng Ma Mingyang Li Yong Liu

Year: 2022 Lecture notes in computer science Pages: 263-279 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-20077-9_16

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Keywords:

Computer science Point cloud Lidar Segmentation Artificial intelligence Computer vision Feature (linguistics) Process (computing) Line (geometry) Transformation (genetics) Point (geometry) Encoder Scan line Code (set theory) Remote sensing Image (mathematics) Grayscale Set (abstract data type)

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8.10

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0.99

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Topics

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud

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Citation History

Topics

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