Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICPR.2004.1334130
Title: Coordinate systems reconstruction for graphical documents by hough-feature clustering and geometric analysis
Authors: Yanping, Z.
Lim, T.C. 
Issue Date: 2004
Source: Yanping, Z., Lim, T.C. (2004). Coordinate systems reconstruction for graphical documents by hough-feature clustering and geometric analysis. Proceedings - International Conference on Pattern Recognition 1 : 376-379. ScholarBank@NUS Repository. https://doi.org/10.1109/ICPR.2004.1334130
Abstract: Two-dimensional and three-dimensional coordinate systems are the basic graphics symbols in many graphical documents. A robust coordinate system detection scheme is needed in order to further decompose other graphics elements accurately. In this paper, we propose a robust coordinate systems reconstruction approach that combines the geometric information of the coordinate systems with feature clustering and line segments verification techniques in the Hough space. Experiments on both 2D and 3D scanned diagram images show that the proposed approach is robust and applicable in constructing the coordinate systems when comparing with other projection-based coordinate systems detection approaches.
Source Title: Proceedings - International Conference on Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/39958
ISBN: 0769521282
ISSN: 10514651
DOI: 10.1109/ICPR.2004.1334130
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