A Partial Point Cloud Completion Network Focusing on Detail Reconstruction

doi:10.3390/rs15235504

CIOMP OpenIR

	A Partial Point Cloud Completion Network Focusing on Detail Reconstruction
	M. Wei, J. Sun, Y. Zhang, M. Zhu, H. Nie, H. Liu and J. Wang
	2023
发表期刊	Remote Sensing
ISSN	20724292
卷号	15 期号:23
摘要	The point cloud is disordered and unstructured, and it is difficult to extract detailed features. The detailed part of the target shape is difficult to complete in the point cloud completion task. It proposes a point cloud completion network (BCA-Net) focusing on detail reconstruction, which can reduce noise and refine shapes. Specifically, it utilizes residual deformation architecture to avoid error points. The break and recombine refinement method is used to recover complete point cloud details. In addition, it proposes a bilateral confidence aggregation unit based on recurrent path aggregation to refine the coarse point cloud shape using multiple gating. Our experiments on the ShapeNet and Complete3D datasets demonstrate that our network performs better than other point cloud completion networks. © 2023 by the authors.
DOI	10.3390/rs15235504
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收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/68009
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	M. Wei, J. Sun, Y. Zhang, M. Zhu, H. Nie, H. Liu and J. Wang. A Partial Point Cloud Completion Network Focusing on Detail Reconstruction[J]. Remote Sensing,2023,15(23).
APA	M. Wei, J. Sun, Y. Zhang, M. Zhu, H. Nie, H. Liu and J. Wang.(2023).A Partial Point Cloud Completion Network Focusing on Detail Reconstruction.Remote Sensing,15(23).
MLA	M. Wei, J. Sun, Y. Zhang, M. Zhu, H. Nie, H. Liu and J. Wang."A Partial Point Cloud Completion Network Focusing on Detail Reconstruction".Remote Sensing 15.23(2023).

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