Laminae-Based Feature Recognition

  • Authors:
  • T. Lim;J. Corney;D. E.R. Clark

  • Affiliations:
  • Heriot-Watt Univ., Edinburgh, Scotland;Heriot-Watt Univ., Edinburgh, Scotland;Heriot-Watt Univ., Edinburgh, Scotland

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 2001

Quantified Score

Hi-index 0.14

Visualization

Abstract

Motivated by the needs of mould and die manufacturers, this paper presents a novel approach to recognizing shape features on geometric models composed of both simple and complex ruled surfaces. The algorithm described uses a network of adjacent 2D-laminae (i.e., bounded surfaces) derived from a component's CAD model to both locate and create generic protrusion and depression feature volumes. The approach also enables the automatic generation of alternative feature descriptions and requires no predefined feature libraries.