• DocumentCode
    3486240
  • Title

    Detection of Overlapped Quadrangles in Plane Geometric Figures

  • Author

    Keqiang Li ; Xiaoqing Lu ; Haibin Ling ; Lu Liu ; Tianxiao Feng ; Zhi Tang

  • Author_Institution
    State Key Lab. of Digital Publishing Technol., Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    25-28 Aug. 2013
  • Firstpage
    260
  • Lastpage
    264
  • Abstract
    Digital plane geometric figures (PGFs) are important resources of digital education, especially in mathematical pedagogy. The related applications, such as recognition and retrieval system on geometric figure images, have not been fully exploited. Special quadrangles, including rectangles, parallelograms, and trapezoids, are important components of PGFs, and extracting these special quadrangles is a prerequisite task. In this paper, we focus on the detection of overlapped quadrangles in PGFs using the proposed one-pass detection algorithm based on the geometric symmetrical property of involved shapes. We also introduce a method to refine the detected geometric primitives by significance analysis in order to optimize the shape descriptor. Experimental results show that the proposed method for special quadrangle detection is accurate and efficient, and is ready for further use in PGF retrieval systems.
  • Keywords
    computational geometry; mathematics computing; PGF; digital education resources; digital plane geometric figures; geometric primitive detection; geometric symmetrical property; mathematical pedagogy; one-pass detection algorithm; overlapped quadrangle detection; parallelograms; rectangles; shape descriptor optimization; trapezoids; Detection algorithms; Educational institutions; Image edge detection; Image segmentation; Shape; Transforms; parallelogram; plane geometric figure; rectangle; significance analysis; special quadrangle detection; trapezoid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2013.59
  • Filename
    6628624