Automatic acquisition of rules for 3D reconstruction of construction components

Ruoyu Yang, Yang Cao, Heng Li, Shengwei Wang, Qiping Shen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)


Aiming at the rule-based recognition system for architectural structure drawings (ASDs), this paper presents a sample-based method that will automatically extract the geometric features of architectural objects and convert the features into recognition rules. When users designate the first sample of one type of objects, this method automatically analyzes and extracts the features useful for drawing recognition. Aided by a little interactive operation, recognition rules for this type of objects are generated. When a new sample of one object is designated through automatically comparing the new features and the old, this method analyzes and modifies the features of this object, then generates new rules. Along with new object types or new representations of old types are processed, rules of the recognition system are perfected continuously without modifying the program. This method can bring to the drawing recognition system higher self-adaptability and practicability.
Original languageEnglish
Pages (from-to)545-553
Number of pages9
JournalAutomation in Construction
Issue number5 SPEC. ISS.
Publication statusPublished - 1 Sep 2004


  • Architectural structure drawing
  • Construction component
  • Rule acquisition
  • Self-adapting recognition

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

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