Components of a Line Drawing Interpretation System

  • Sergey Ablameyko
  • Tony Pridmore


To date, image interpretation systems have been most successfully employed in industrial inspection tasks, bin picking exercises and for robotic guidance [36], though more recently attention has shifted towards more human-oriented applications such as face recognition and automatic visual surveillance. Most systems operate within structured environments where the data to be assessed is both well-known and minimised; the appearance of objects of interest can often be quite accurately predicted, with each object typically occupying only a small proportion of the image. Line drawings are a means of communication between humans. As they have evolved, drawing styles have emerged which rely heavily on the interpretive power of the human visual system. Hence, although line drawing interpretation might seem more tractable than a ‘natural’ vision problem like, say, the extraction of three-dimensional descriptions of walking people from a video tape of a street scene [37], the task is in fact highly complex.


Interpretation System Raster Image Engineering Drawing Entity Extraction Mechanical Drawing 
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 London Limited 2000

Authors and Affiliations

  • Sergey Ablameyko
    • 1
  • Tony Pridmore
    • 2
  1. 1.Institute of Engineering CyberneticsBelarusian Academy of SciencesMinskBelarus
  2. 2.School of Computer Science and Information TechnologyUniversity of NottinghamNottinghamUK

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