Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 3
685-688,695

3D model retrieval algorithm based on multimodal fusion

Wang Ya1
Zheng Bowen1
Zhang Xin2
1. School of Electrical & Information Engineering, Tianjin University, Tianjin 300072, China
2. China Electronics Standardization Institute, Beijing 100007, China
DOI: 10.19734/j.issn.1001-3695.2020.02.0086

Abstract

In order to get better performance of 3D model retrieval and classification, this paper proposed the characterization of 3D models by multi-modal information fusion, which based on deep-learning model. The method considered the correlation of different modalities in the training step for extracting a more robust feature vector, which benefitted from the proposed correlation loss function. In addition, it applied fusion features to 3D model retrieval and classification. This paper evaluated the proposed method on the ModelNet40 dataset for 3D models classification task and retrieval. The comparison between the experimental results and the existing methods proves the superiority of this method, which provides a new idea for the field of 3D model retrieval and classification.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.02.0086
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 3
Section: Algorithm Research & Explore
Pages: 685-688,695
Serial Number: 1001-3695(2021)03-008-0685-04

Publish History

[2021-03-05] Printed Article

Cite This Article

王亚, 郑博文, 张欣. 基于多模态融合的三维模型检索算法研究 [J]. 计算机应用研究, 2021, 38 (3): 685-688,695. (Wang Ya, Zheng Bowen, Zhang Xin. 3D model retrieval algorithm based on multimodal fusion [J]. Application Research of Computers, 2021, 38 (3): 685-688,695. )

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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