KdO-Net: Towards Improving the Efficiency of Deep Convolutional Neural Networks Applied in the 3D Pairwise Point Feature Matching

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Document type:: Zeitschriftenaufsatz
Author(s):: Zhang, Rui ; Li, Guangyun ; Wiedemann, Wolfgang ; Holst, Christoph
Title:: KdO-Net: Towards Improving the Efficiency of Deep Convolutional Neural Networks Applied in the 3D Pairwise Point Feature Matching
Keywords:: Article ; point cloud ; feature matching ; point cloud registration ; deep learning ; nearest neighbor searching
Journal title:: Remote Sensing
Year:: 2022
Journal volume:: 14
Journal issue:: 12
Fulltext / DOI:: doi:10.3390/rs14122883
Publisher:: MDPI
E-ISSN:: 2072-4292
Date of publication:: 16.06.2022
CC license:: by, https://creativecommons.org/licenses/by/4.0

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