Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
919-924

Retrieval algorithm for parts and accessories based on design sketch

Bao Yuru1
Liu Yuhao2
Chen Ruidong1
Chang Rihao1
Nie Weizhi1
1. School of Electrical Automation & Information Engineering, Tianjin University, Tianjin 300072, China
2. Tianjin Navigation Instrument Research Institute, Tianjin 300130, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0318

Abstract

In the intelligent transformation of the mechanical manufacturing, a large amount of spare parts models is inevitably generated, which brings huge challenges to the efficient retrieval of data. Considering the user-friendly and lightweight characteristics of design sketches, this paper conducted model retrieval of mechanical parts based on design sketches by constructing a deep cross-domain representation model. Aiming at the problem of cross-modal information association between sketches and 3D models, this paper proposed a feature joint learning method, which controlled the differences within and between classes of retrieved models. By this method, feature descriptors could acquire single-domain features as well as fuse the cross-domain information, and thus, the method established a consistent association representation of cross-modal data in a co-embedding space. Finally, it constructed the index table by using hash coding to realize fast retrieval of massive data. The experimental results on the parts data show that the proposed retrieval method based on the design sketch can not only achieve the most accurate retrieval results, but also have higher retrieval efficiency among the comparison methods. The method not only improves the accuracy of cross-modal spare parts information retrieval, but also improves the efficiency of data management, thereby indirectly improving the efficiency and convenience of product design. The related systems have been applied in some enterprises and have received good feedback.

Foundation Support

国家重点研发计划项目(2020YFB1711700)
国家自然科学基金资助项目(61772359,61525206,61872267)
天津市新一代人工智能重大专项(19ZXZNGX00110,18ZXZNGX00150)
天津市青年基金资助项目(19JCQNJC00500)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0318
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: Technology of Graphic & Image
Pages: 919-924
Serial Number: 1001-3695(2023)03-046-0919-06

Publish History

[2022-09-22] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

鲍玉茹, 刘雨豪, 陈睿东, 等. 基于设计草图的零配件检索算法 [J]. 计算机应用研究, 2023, 40 (3): 919-924. (Bao Yuru, Liu Yuhao, Chen Ruidong, et al. Retrieval algorithm for parts and accessories based on design sketch [J]. Application Research of Computers, 2023, 40 (3): 919-924. )

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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