Point Cloud Module Based on Hidden Features

Zou Shuhang; Li Guangping; Gao Xiang

doi:10.12052/gdutxb.240153

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Point Cloud Module Based on Hidden Features

更新时间：2026-05-27

- Point Cloud Module Based on Hidden Features
- Vol. 42, Issue 6, Pages: 62-69(2025)
- 作者机构：
  
  广东工业大学信息工程学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.240153
  CLC： TP394.1
- Published：2025
- 稿件说明：
移动端阅览
邹舒航, 李光平, 高祥. 基于隐藏特征的点云模块[J]. 广东工业大学学报, 2025, 42(6): 62–69.

Zou Shuhang, Li Guangping, Gao Xiang. Point Cloud Module Based on Hidden Features[J]. 2025, 42(6): 62-69.
邹舒航, 李光平, 高祥. 基于隐藏特征的点云模块[J]. 广东工业大学学报, 2025, 42(6): 62–69. DOI： 10.12052/gdutxb.240153

Zou Shuhang, Li Guangping, Gao Xiang. Point Cloud Module Based on Hidden Features[J]. 2025, 42(6): 62-69. DOI： 10.12052/gdutxb.240153.

摘要

点云全局特征和局部特征之间普遍存在隐藏特征，挖掘并利用隐藏特征可增强点云表示能力。但现有理论中，对隐藏特征的分析利用并不深入。为进一步挖掘利用隐藏特征，提出一种基于注意力机制的隐藏特征利用(Attention-based Hidden Feature Utilization，AHU)模块。模块由两部分子模块组成，一方面，基于通道注意力机制的子模块加强特征通道间的依赖关系，提升隐藏特征的显著性；另一方面，基于交叉注意力机制的子模块将学习到的隐藏特征反投影到原始局部特征上，并建立二者的长距离依赖关系，促进信息融合并提高模块泛化能力。本文拓展了隐藏特征的相关理论，并以实验证明，AHU模块可以集成到现有的先进网络中，显著提高其性能。

Abstract

Existing research has shown that there are hidden features between the global and local features of point cloud

and the representation capability of point cloud can be enhanced by mining and utilizing the hidden features. However

existing theories have not delved deeply into the analysis and utilization of hidden features. To further exploit the hidden features

we propose an Attention-based Hidden Feature Utilization (AHU) module

which consists of two sub-modules. On one hand

a sub-module based on channel attention mechanism enhances the inter-channel dependencies of features

improving the significance of hidden features; on the other hand

another sub-module based on cross-attention mechanism projects the learned hidden features back to the original local features

establishing long-distance dependencies between them and promoting information fusion

such that the generalization ability of the module can be improved. This paper extends the theory about hidden features and the experimental results demonstrate that the AHU module can be integrated into existing state-of-the-art networks to significantly improve the performance.

关键词

Keywords

references

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