3D CAD model matching from 2D local invariant features

  • Authors:
  • K. P. Zhu;Y. S. Wong;W. F. Lu;H. T. Loh

  • Affiliations:
  • Lab of Concurrent Engineering and Logistics, Department of Mechanical Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore;Lab of Concurrent Engineering and Logistics, Department of Mechanical Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore;Lab of Concurrent Engineering and Logistics, Department of Mechanical Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore;Lab of Concurrent Engineering and Logistics, Department of Mechanical Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore

  • Venue:
  • Computers in Industry
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

The matching of particular types of CAD models to existing physical models can provide invaluable support to the process of CAD design and reuse. To meet the demand for fast and robust algorithms to detect predefined models in database, an local invariant model matching approach is proposed in this paper. It first maps the 3D CAD model to 2D principal image plane by its first two principal components, and then finds affine invariant key points in the 2D image. The CAD model matching problem is implemented as key points matching. Experimental results show the proposed 3D model retrieval method performs fairly well in retrieving similar models from a database of 3D CAD models.