May 29, 2019 · With that, we further propose a deep convolutional neural network based on NPTC (called NPTC-net) for point cloud classification and ...

Dec 8, 2021 · Designing appropriate convolution neural networks on manifold-structured point clouds can inherit and empower recent advances of CNNs to ...

Convolution plays a crucial role in various applications in signal and image pro- cessing, analysis and recognition. It is also the main building block of ...

With that, we further propose a deep convolutional neural network based on NPTC (called NPTC-net) for point cloud classification and segmentation. Comprehensive ...

This paper proposes the Narrow-Band Parallel Transport Convolution (NPTC) using a specifically defined connection on a voxel-based narrow-band approximation ...

Dec 8, 2021 · In this paper, we consider generalizing convolution by adapting parallel transport on the point cloud. Inspired by a triangulated surface-based ...

NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Networks on Point Clouds. Citation Details. Title: NPTC-net: Narrow-Band Parallel Transport ...

Apr 25, 2024 · NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Networks on Point Clouds. ... Coauthor network. maximize. Note that this ...

NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds. Pengfei Jin, Tianhao Lai, Rongjie Lai, Bin Dong. arXiv (2019) 0 ...