3D convolutional auto-encoder based multi-scale feature extraction for point cloud registration

Hao Ma; Deyu Yin; Jingbin Liu; Ruizhi Chen

doi:10.1016/j.optlastec.2022.107860

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3D convolutional auto-encoder based multi-scale feature extraction for point cloud registration

Hao Ma Deyu Yin Jingbin Liu Ruizhi Chen

Year: 2022 Journal: Optics & Laser Technology Vol: 149 Pages: 107860-107860 Publisher: Elsevier BV

DOI: 10.1016/j.optlastec.2022.107860

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Keywords:

Point cloud Computer science Artificial intelligence RANSAC Voxel Pattern recognition (psychology) Matching (statistics) Feature (linguistics) Feature extraction Encoder Autoencoder Computer vision Frame (networking) Dimension (graph theory) Euclidean distance Image (mathematics) Deep learning Mathematics

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3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

3D convolutional auto-encoder based multi-scale feature extraction for point cloud registration

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