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
Link To Document :
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