A framework for 3D model reconstruction in reverse engineering

  • Authors:
  • Jun Wang;Dongxiao Gu;Zeyun Yu;Changbai Tan;Laishui Zhou

  • Affiliations:
  • College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;School of Management, Hefei University of Technology, Hefei 230009, China;Department of Computer Science, University of Wisconsin, Milwaukee, WI 53211, USA;College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2012

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Abstract

We present a framework for 3D model reconstruction, which has potential applications to a spectrum of engineering problems with impacts on rapid design and prototyping, shape analysis, and virtual reality. The framework, composed of four main components, provides a systematic solution to reconstruct geometric model from the surface mesh of an existing object. First, the input mesh is pre-processed to filter out noise. Second, the mesh is partitioned into segments to obtain individual geometric feature patches. Then, two integrated solutions, namely solid feature based strategy and surface feature based strategy, are exploited to reconstruct primitive features from the segmented feature patches. Finally, the modeling operations, such as solid boolean and surface trimming operations, are performed to ''assemble'' the primitive features into the final model. The concepts of ''feature'', ''constraint'' and ''modeling history'' are introduced into the entire reconstruction process so that the design intents are retrieved and exhibited in the final model with geometrical accuracy, topological consistency and flexible editability. A variety of industrial parts have been tested to illustrate the effectiveness and robustness of our framework.