Graphics Recognition. Recent Advances and New Opportunities: by Jien Kato, Hiroshi Shimanuki, Toyohide Watanabe (auth.),

By Jien Kato, Hiroshi Shimanuki, Toyohide Watanabe (auth.), Wenyin Liu, Josep Lladós, Jean-Marc Ogier (eds.)

This ebook constitutes the completely refereed post-proceedings of the seventh foreign Workshop on photographs attractiveness, GREC 2007, held in Curitiba, Brazil in September 2007.

The 30 revised complete papers awarded including a panel dialogue document have been conscientiously chosen and enhanced in the course of rounds of reviewing and revision. The papers are prepared in topical sections on technical files, maps and diagrams knowing; image and form description and popularity; info retrieval, indexing and recognizing; sketching interfaces and online processing; characteristic and primitive research and segmentation; functionality evaluate and flooring truthing.

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Additional info for Graphics Recognition. Recent Advances and New Opportunities: 7th International Workshop, GREC 2007, Curitiba, Brazil, September 20-21, 2007. Selected Papers

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Symbol recognition with kernel density matching. Trans. on PAMI 28(12), 2020–2024 (2006) 23. php 24. com 25. : A platform to extract knowledge from graphic documents. Application to an architectural sketch understanding scenario. R. ) DAS 2004. LNCS, vol. 3163, pp. 389–400. Springer, Heidelberg (2004) On the Combination of Ridgelets Descriptors for Symbol Recognition O. Ramos Terrades1, , E. Valveny1,2, , and S. Tabbone3 1 2 Computer Vision Center, Spain Dept. fr Abstract. In this paper we propose an original solution to combine the scales of multi-resolution shape descriptors.

The early approaches were off-line systems mainly devoted to diagram beatification [1], or application cases of pattern recognition theory [2]. With the progress of digital pen and paper protocols such as Tablet PC or PDA, on-line sketch recognition systems gained in prominence. g. the W. Liu, J. -M. ): GREC 2007, LNCS 5046, pp. 29–39, 2008. c Springer-Verlag Berlin Heidelberg 2008 30 A. Forn´es et al. Graffitti alphabet for PDA’s. The input of digital pen devices, called digital ink, consists in a sequence of points acquired at regular time intervals and grouped into basic sketch entities called strokes.

4 Results Before the experimental results are presented, we discuss the data, methods, and evaluation measurements: • Data: The presented approach has been evaluated using two databases. The first one is a architectural symbol database extracted from a sketching interface. The second one is the GREC2005 database, a public printed symbols database. • Methods: We compare our methodology with the kernel density matching method (KDM) proposed in [22], ART, Zoning, and Zernike descriptors [9],[21]. Hand Drawn Symbol Recognition by Blurred Shape Model 35 To test our system, we use the Discrete Adaboost version [17] with 50 iterations of decision stumps, and the one-versus-one ECOC coding with Euclidean distance decoding [18],[19].

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