Please use this identifier to cite or link to this item:
|Title:||Coordinate systems reconstruction for graphical documents by hough-feature clustering and geometric analysis|
|Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 20, 2019
checked on Mar 17, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.