Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN

CVPR 2019 Shiyi LanRuichi YuGang YuLarry S. Davis

Recent advances in deep convolutional neural networks (CNNs) have motivated researchers to adapt CNNs to directly model points in 3D point clouds. Modeling local structure has been proven to be important for the success of convolutional architectures, and researchers exploited the modeling of local point sets in the feature extraction hierarchy... (read more)

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