Abstract
An example-driven graphics recognition scheme is presented, which is an extension of the generic graphics recognition algorithm we presented years ago. The key idea is that, interactively, the user can specify one or more examples of one type of graphic objects in an engineering drawing image, an the system then learn the constraint rules among the components in this type of graphic objects and recognize similar objects in the same drawing or similar drawings by matching the constraint rules. Preliminary experiments have shown that this is a promising way for interactive graphics recognition.
Chapter PDF
Similar content being viewed by others
References
Cheng, T., Khan, J., Liu, H., Yun, D.Y.Y.: A symbol recognition system. In: Proc. ICDAR93 (1993).
den Hartog J.E., ten Kate T.K., and Gerbrands J.J.: Knowledge-Based Interpretation of Utility Maps. Computer Vision and Image Understanding 63(1) (1996) 105–117.
Dori D.: A syntactic/geometric approach to recognition of dimensions in engineering machine drawings. Computer Vision, Graphics, and Image Processing 47(3) (1989) 271–291
Dori D.: Orthogonal Zig-Zag: an Algorithm for Vectorizing Engineering Drawings Compared with Hough Transform. Advances in Engineering Software 28(1) (1997) 11–24
Dori D. and Liu W.: Sparse Pixel Vectorization: An Algorithm and Its Performance Evaluation. IEEE Trans. on Pattern Analysis and Machine Intelligence 21(3) (1999) 202–215.
Liu W. and Dori D.: Genericity in Graphics Recognition Algorithms. In: Graphics Recognition: Algorithms and Systems, eds. K. Tombre and A. Chhabra, Lecture Notes in Computer Science, Vol. 1389, pp. 9–21, Springer (1998).
Liu W. and Dori D.: A Generic Integrated Line Detection Algorithm and Its Object-Process Specification. Computer Vision and Image Understanding 70(3) (1998) 420–437
Vaxiviere P. and Tombre K.: Celestin: CAD Conversion of Mechanical Drawings. IEEE Computer Magazine 25(7) (1992) 46–54
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wenyin, L. (2002). Example-Driven Graphics Recognition. In: Caelli, T., Amin, A., Duin, R.P.W., de Ridder, D., Kamel, M. (eds) Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2002. Lecture Notes in Computer Science, vol 2396. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-70659-3_17
Download citation
DOI: https://doi.org/10.1007/3-540-70659-3_17
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44011-6
Online ISBN: 978-3-540-70659-5
eBook Packages: Springer Book Archive