Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 1
296-298

3D shape function recognition based on contextual relationship of shape parts

Zi Lingling1
Cong Xin1
Yang Pei2
1. School of Electronic & Information Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
2. College of Science, Liaoning Technical University, Fuxin Liaoning 123000, China
DOI: 10.19734/j.issn.1001-3695.2017.08.0898

Abstract

Making use of semantic information to achieve the high-level analysis and understanding is a hot issue currently. To address the problem of automatic recognition in the presence of significant geometric and topological variations, this paper proposed a 3D shape function recognition method by adopting the contextual relationship of shape parts. Firstly, it decomposed 3D shapes into the shape part sets with independent semantics and employed the technique of approximate convexity analysis. Then, it computed the contextual relationship of shape parts and on this basis, and adopted support vector machines to achieve the task of automatic recognition between shape parts. Experimental results show that the proposed method achieves higher the matching accuracy values and lower classification error rates, compared to the existing methods.

Foundation Support

国家自然科学基金资助项目(61702241,61602227)
辽宁省教育厅科学研究一般项目(L2015225,LJYL019)
辽宁省科技厅博士科研启动基金资助项目(201601365)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0898
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Technology of Graphic & Image
Pages: 296-298
Serial Number: 1001-3695(2019)01-068-0296-03

Publish History

[2019-01-05] Printed Article

Cite This Article

訾玲玲, 丛鑫, 杨培. 基于部件上下文关系的三维形状功能识别 [J]. 计算机应用研究, 2019, 36 (1): 296-298. (Zi Lingling, Cong Xin, Yang Pei. 3D shape function recognition based on contextual relationship of shape parts [J]. Application Research of Computers, 2019, 36 (1): 296-298. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)