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Efficient Categorization of 3D Edges from 2D Projections

  • Amitabha Mukerjee
  • Nilanjan Sasmal
  • D. Sridhar Sastry
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1941)

Abstract

In this paper we re-consider the problem of converting a linear drawing to a set of 3D edges and present a more efficient solution based on a qualitatively complete classification of the possible states of 3D edges and their projections. The projective constraints on possible 3D edges result in an one-pass generation of the 3D wire frame. Most existing algorithms (e.g. [6, 13]) consider either point-based constraints, or only a subset of the line constraints. The algorithm adopted here adopts the line-constraint approach and presents several improvements based on a qualitative analysis which results in considerably more efficient search. Since reconstruction of line segments is one of the most frequently performed tasks in the overall task of generating 3-D models from 2-D drawings, this improvement is of considerable interest to the CAD community.

Keywords

Efficient Categorization Orthographic Projection Engineering Drawing Line Constraint Wireframe Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Amitabha Mukerjee
    • 1
  • Nilanjan Sasmal
    • 1
  • D. Sridhar Sastry
    • 1
  1. 1.Center for RoboticsI.I.T. KanpurKanpurINDIA

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