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Electronics • Vol 14 • No 5
PCRNet+: A Point Cloud Alignment Algorithm Introducing Dynamic Graph Convolutional Neural Networks
February 2025 • T. Y. Qi, Yingchun Li, Jing Tian, Hang Chen
In this paper, an improved point cloud alignment network based on PCRNet is proposed. In the improved model, DGCNN is used as a feature extractor to capture the local and global geometric features of the point cloud, and a fully connected layer is used for feature fusion and rigid-body transformation parameter prediction. Compared with the original PCRNet, the improved network shows higher accuracy and robustness in the point cloud alignment task. In order to verify the performance of the improved network, two cla…
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Convolutional Neural Network
Computer Science
Point Cloud
Algorithm
Artificial Intelligence
Theoretical Computer Science
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