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Alicia Fornes, Josep Llados and Gemma Sanchez. 2008. Old Handwritten Musical Symbol Classification by a Dynamic TimeWrapping Based Method. In W. Liu, J.L., J.M. Ogier, ed. Graphics Recognition: Recent Advances and New Opportunities.52–60. (LNCS.)
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Joan Mas, J.A. Jorge, Gemma Sanchez and Josep Llados. 2008. Representing and Parsing Sketched Symbols using Adjacency Grammars and a Grid-Directed Parser. In W. Liu, J.L., J.M. Ogier, ed. Graphics Recognition: Recent Advances and New Opportunities,.176–187. (LNCS.)
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Partha Pratim Roy, Eduard Vazquez, Josep Llados, Ramon Baldrich and Umapada Pal. 2008. A System to Segment Text and Symbols from Color Maps. Graphics Recognition. Recent Advances and New Opportunities.245–256. (LNCS.)
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Liu Wenyin, Josep Llados and Jean-Marc Ogier. 2008. Graphics Recognition. Recent Advances and New Opportunities.. (LNCS.)
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Jose Antonio Rodriguez, Gemma Sanchez and Josep Llados. 2008. Categorization of Digital Ink Elements using Spectral Features. In W. Liu, J.L., J.M. Ogier, ed. Graphics Recognition: Recent Advances and New Opportunities. Springer–Verlag, 188–198. (LNCS.)
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Sergio Escalera, Alicia Fornes, Oriol Pujol, Josep Llados and Petia Radeva. 2007. Multi-class Binary Object Categorization using Blurred Shape Models. Progress in Pattern Recognition, Image Analysis and Applications, 12th Iberoamerican Congress on Pattern.773–782. (LCNS.)
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Agnes Borras and Josep Llados. 2007. Similarity-Based Object Retrieval Using Appearance and Geometric Feature Combination. 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:113–120.33–39.
Abstract: This work presents a content-based image retrieval system of general purpose that deals with cluttered scenes containing a given query object. The system is flexible enough to handle with a single image of an object despite its rotation, translation and scale variations. The image content is divided in parts that are described with a combination of features based on geometrical and color properties. The idea behind the feature combination is to benefit from a fuzzy similarity computation that provides robustness and tolerance to the retrieval process. The features can be independently computed and the image parts can be easily indexed by using a table structure on every feature value. Finally a process inspired in the alignment strategies is used to check the coherence of the object parts found in a scene. Our work presents a system of easy implementation that uses an open set of features and can suit a wide variety of applications.
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Anton Cervantes, Gemma Sanchez, Josep Llados, Agnes Borras and Ana Rodriguez. 2006. Biometric Recognition Based on Line Shape Descriptors. Lecture Notes in Computer Science. Springer Link, 346–357,.
Abstract: Abstract. In this paper we propose biometric descriptors inspired by shape signatures traditionally used in graphics recognition approaches. In particular several methods based on line shape descriptors used to iden- tify newborns from the biometric information of the ears are developed. The process steps are the following: image acquisition, ear segmentation, ear normalization, feature extraction and identification. Several shape signatures are defined from contour images. These are formulated in terms of zoning and contour crossings descriptors. Experimental results are presented to demonstrate the effectiveness of the used techniques.
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W. Liu and Josep Llados. 2006. Graphics Recognition. Ten Years Review and Future Perspectives. (LNCS.)
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Agnes Borras and Josep Llados. 2005. Object Image Retrieval by Shape Content in Complex Scenes Using Geometric Constraints. Pattern Recognition And Image Analysis. Springer Link, 325–332.
Abstract: This paper presents an image retrieval system based on 2D shape information. Query shape objects and database images are repre- sented by polygonal approximations of their contours. Afterwards they are encoded, using geometric features, in terms of predefined structures. Shapes are then located in database images by a voting procedure on the spatial domain. Then an alignment matching provides a probability value to rank de database image in the retrieval result. The method al- lows to detect a query object in database images even when they contain complex scenes. Also the shape matching tolerates partial occlusions and affine transformations as translation, rotation or scaling.
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