A-CNN: Annularly Convolutional Neural Networks on Point Clouds

CVPR 2019 Artem KomarichevZichun ZhongJing Hua

Analyzing the geometric and semantic properties of 3D point clouds through the deep networks is still challenging due to the irregularity and sparsity of samplings of their geometric structures. This paper presents a new method to define and compute convolution directly on 3D point clouds by the proposed annular convolution... (read more)

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