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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2514-2519

3D-BSNet:bilateral features-similarity measure network for 3D instance segmentation

Tian Fenga
Xu Xina
Liu Fanga
Liu Zongbaob
a. College of Computer & Information Technology, b. College of Geoscience, Northeast Petroleum University, Daqing Heilongjiang 163318, China
DOI: 10.19734/j.issn.1001-3695.2022.11.0777

Abstract

In order to solve the problem that the current three-dimensional segmentation methods ignored the effective use of geometric features when mining point cloud features, this paper proposed the point cloud instance segmentation network 3DBSNet with bilateral features and similarity measure. The network mainly consisted of two parts, such as bilateral feature learning and lightweight similarity measurement. Firstly, this paper proposed the bilateral feature extraction module with 3D-UNet based on submanifold sparse convolution and multi-layer perceptron. This module could extract semantic and geometric features of point cloud data after voxelization. Secondly, this paper designed the bilateral attention mechanism combining channel dimension and spatial dimension. This module could reduce the information loss in the process of bilateral feature aggregation. Finally, this paper developed the lightweight similarity measurement module. This module could obtain the similarity between neighboring point clouds in the high-dimensional embedded feature space and even generate the segmentation results of fine-grained instances. Experiments show that 3D-BSNet performs well on S3DIS and Scannet(v2) dataset, and the average accuracy rate on Scannet(v2) is 3.3% higher than that of SSTNet, which effectively improves the precision of 3D instance segmentation.

Foundation Support

黑龙江省自然科学基金资助项目(LH2021F004)
黑龙江省哲学社会科学基金资助项目(22EDE389)
黑龙江省高等学校教改工程项目(SJGZ20200037)
东北石油大学研究生教育创新工程项目(JYCX_11_2020)
东北石油大学引导性创新基金资助项目(2020YDL-11)
黑龙江省省属本科高校基本科研业务费资助项目(KYCXTD201903)
黑龙江省教育科学规划重点课题资助项目(GJB1421113)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0777
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Technology of Graphic & Image
Pages: 2514-2519
Serial Number: 1001-3695(2023)08-043-2514-06

Publish History

[2023-03-08] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

田枫, 徐昕, 刘芳, 等. 3D-BSNet:双边特征和相似度量的点云实例分割网络 [J]. 计算机应用研究, 2023, 40 (8): 2514-2519. (Tian Feng, Xu Xin, Liu Fang, et al. 3D-BSNet:bilateral features-similarity measure network for 3D instance segmentation [J]. Application Research of Computers, 2023, 40 (8): 2514-2519. )

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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