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3D engineering model retrieval algorithm based on mesh salient critical

  • School of Mechatronics Engineering, Harbin Institute of Technology
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

To effectively retrieve and reuse existing 3D model and relative design knowledge, aiming at the engineering triangular mesh model, based on mesh salient critical points, a 3D engineering retrieval algorithm was proposed, which was independent of Computer Aided Design (CAD). According to the Morse theory, the discrete mean curvature at vertices of the mesh was used as the smooth real function to calculate mesh salient critical points. Then the approximate geodesic distance between two critical points and the corresponding cosine value of the intersection angle of the two vertex-normals were employed as the United Shape Function (USF). Shape distributions were generated by computing the USF within each class of critical points, i.e. maximum, minimum, and saddle, respectively. Thus the comparison of models was mapped into the comparison of corresponding shape distribution matrixes. Experiments were conducted to evaluate the proposed algorithm by utilizing the Engineering Shape Benchmark (ESB) database developed by Purdue University. Experiential results suggested that the proposed technique effectively reflected the similarity among engineering models, and the retrieval performance was significantly improved.

Original languageEnglish
Pages (from-to)72-81
Number of pages10
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume15
Issue number1
StatePublished - Jan 2009
Externally publishedYes

Keywords

  • Approximate geodesic distance
  • Computer aided design
  • Discrete curvature
  • Engineering model retrieval
  • Grid
  • Salient critical points
  • Shape distribution

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