Strengthening 3D Point Cloud Classification through Self-Attention and Plane Features

Jin Cheng Liu, Jun Wei Hsieh, Yu Ming Zhang, Chun Chien Lee, Kuo Chin Fan

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

To address the unique attributes of three-dimensional point cloud data, this paper introduces an innovative architecture for precise 3D point cloud classification. Expanding on the PointMLP framework, we incorporate an embedding module that elevates the point cloud to higher-dimensional feature representations which are followed by geometric feature mapping and extraction modules to capture point cloud characteristics. To estimate local geometric structures, we use plane features to determine planes associated with nearby points. Additionally, we integrate self-attention mechanisms to capture intricate local geometric features. Moreover, MLP modules with residual connections are employed for efficient feature extraction. The derived features are then reduced in size using Max Pooling layers. For classification purposes, we utilize fully connected layers, batch normalization, activation functions, and random weight dropping techniques to enhance generalization and ensure robustness on unseen data. By adopting these architectural decisions, our proposed model achieves significant progress in accurately classifying 3D point clouds.

原文???core.languages.en_GB???
主出版物標題AVSS 2024 - 20th IEEE International Conference on Advanced Video and Signal-Based Surveillance
發行者Institute of Electrical and Electronics Engineers Inc.
版本2024
ISBN(電子)9798350374285
DOIs
出版狀態已出版 - 2024
事件20th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2024 - Niagara Falls, Canada
持續時間: 15 7月 202416 7月 2024

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???20th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2024
國家/地區Canada
城市Niagara Falls
期間15/07/2416/07/24

指紋

深入研究「Strengthening 3D Point Cloud Classification through Self-Attention and Plane Features」主題。共同形成了獨特的指紋。

引用此