A new method for identifying and validating features from 2D sectional views

  • Authors:
  • Yamei Wen;Hui Zhang;Jiaguang Sun;Jean-Claude Paul

  • Affiliations:
  • School of Software, Tsinghua University, Beijing 100084, PR China and Department of Computer Science and Technology, Tsinghua University, Beijing 100084, PR China and Key Laboratory for Informatio ...;School of Software, Tsinghua University, Beijing 100084, PR China and Key Laboratory for Information System Security, Ministry of Education, Beijing 100084, PR China and Tsinghua National Laborato ...;School of Software, Tsinghua University, Beijing 100084, PR China and Department of Computer Science and Technology, Tsinghua University, Beijing 100084, PR China and Key Laboratory for Informatio ...;School of Software, Tsinghua University, Beijing 100084, PR China and Key Laboratory for Information System Security, Ministry of Education, Beijing 100084, PR China and Tsinghua National Laborato ...

  • Venue:
  • Computer-Aided Design
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Feature identification is one of the key steps for 3D solids reconstruction from 2D vector engineering drawings using the volume-based method. In this paper, we propose a novel method to identify and validate features from sectional views. First, features are classified as explicit features (EPFs) and implicit features (IPFs), which are then identified in an order of priority using heuristic hints. We show that the problem of constructing EPFs can be formulated as a 0-1 integer linear program (ILP), and the IPFs are generated based on the understanding of semantic information of omitted projections in sectional views. Then, the Loop-Relation Graph (LRG) is introduced as a multi-connected-subgraph representation for describing the relations between loops and features. According to the LRG, a reasoning technique based on confidence is implemented to interactively validate features. This method can recover features without complete projections, and the level of understanding sectional views is improved. Full sections, partial sections, offset sections as well as revolved sections can be handled by our method. Several examples are provided to demonstrate the practicability of our approach.