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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 2
635-640

Multi-scale feature fusion and contrastive pooling for point cloud completion network

Ma Jingbin
Zhu Danchen
Zhang Ya
Wang Xiaoming
School of Computer & Software Engineering, Xihua University, Chengdu 610039, China
DOI: 10.19734/j.issn.1001-3695.2023.06.0254

Abstract

Point cloud completion plays a crucial role in point cloud processing tasks, as it enhances data quality, assists in generating accurate 3D models, and provides reliable data support for various applications. However, existing point cloud completion algorithms based on deep neural network use a simple single-level global feature extraction method, which do not fully exploit latent semantic information and lead to loss some detailed information during the encoding process. To address these issues, this paper proposed a novel point cloud completion network that employed a multi-scale feature fusion approach and introduced a new pooling method by combining an attention mechanism. Experimental results demonstrate that the proposed network achieves the state-of-the-art(SOTA) performance on three datasets, namely PCN, ShapeNet34, and ShapeNet55, indicating its superior feature representation capability and completion effectiveness.

Foundation Support

四川省自然科学基金资助项目(2022NSFSC0533)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.06.0254
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 2
Section: Technology of Graphic & Image
Pages: 635-640
Serial Number: 1001-3695(2024)02-048-0635-06

Publish History

[2023-10-09] Accepted Paper
[2024-02-05] Printed Article

Cite This Article

马精彬, 朱丹辰, 张亚, 等. 基于多尺度特征融合和对比池化的点云补全网络 [J]. 计算机应用研究, 2024, 41 (2): 635-640. (Ma Jingbin, Zhu Danchen, Zhang Ya, et al. Multi-scale feature fusion and contrastive pooling for point cloud completion network [J]. Application Research of Computers, 2024, 41 (2): 635-640. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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