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A. Pujol, Antonio Lopez, Jose Luis Alba, & Juan J. Villanueva. (2001). Ridges, Valleys and Hausdorff Based Similarity Measures for Face Detection and Matching.
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Daniel Ponsa. (2001). A model based pedestrian tracking review.
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Josep Llados, Enric Marti, & Juan J.Villanueva. (2001). Symbol recognition by error-tolerant subgraph matching between region adjacency graphs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10), 1137–1143.
Abstract: The recognition of symbols in graphic documents is an intensive research activity in the community of pattern recognition and document analysis. A key issue in the interpretation of maps, engineering drawings, diagrams, etc. is the recognition of domain dependent symbols according to a symbol database. In this work we first review the most outstanding symbol recognition methods from two different points of view: application domains and pattern recognition methods. In the second part of the paper, open and unaddressed problems involved in symbol recognition are described, analyzing their current state of art and discussing future research challenges. Thus, issues such as symbol representation, matching, segmentation, learning, scalability of recognition methods and performance evaluation are addressed in this work. Finally, we discuss the perspectives of symbol recognition concerning to new paradigms such as user interfaces in handheld computers or document database and WWW indexing by graphical content.
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Ernest Valveny, & Enric Marti. (2001). Learning of structural descriptions of graphic symbols using deformable template matching. In Proc. Sixth Int Document Analysis and Recognition Conf (pp. 455–459).
Abstract: Accurate symbol recognition in graphic documents needs an accurate representation of the symbols to be recognized. If structural approaches are used for recognition, symbols have to be described in terms of their shape, using structural relationships among extracted features. Unlike statistical pattern recognition, in structural methods, symbols are usually manually defined from expertise knowledge, and not automatically infered from sample images. In this work we explain one approach to learn from examples a representative structural description of a symbol, thus providing better information about shape variability. The description of a symbol is based on a probabilistic model. It consists of a set of lines described by the mean and the variance of line parameters, respectively providing information about the model of the symbol, and its shape variability. The representation of each image in the sample set as a set of lines is achieved using deformable template matching.
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Antonio Lopez, David Lloret, Joan Serrat, & Juan J. Villanueva. (2000). Multilocal Creaseness Based on the Level-Set Extrinsic Curvarture..
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Antonio Lopez. (2000). Multilocal Methods for Ridge and Valley Delineation in Image Analysis. (Joan Serrat, Ed.). Ph.D. thesis, , .
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D. Rincon, E. Frumento, R. Fogliardi, & M. Angel Viñas. (2000). Carmen/Carolin: Description and Results of an International Experience of Telemedicine..
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F. de la Torre, Jordi Vitria, Petia Radeva, & J. Melenchon. (2000). EigenFiltering for flexible Eigentracking..
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C. Sbert, & A.F. Sole. (2000). Stereo reconstruction of 3D curves..
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J.M. Sanchez, & X. Binefa. (2000). Color Normalization for Appearance Based Recognition of Video Key-frames..
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M. Torre, & Petia Radeva. (2000). Agricultural-Field Extraction on Aerial Images by Region Competition Algorithm..
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Robert Benavente, Gemma Sanchez, Ramon Baldrich, Maria Vanrell, & Josep Llados. (2000). Normalized colour segmentation for human appearance description..
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X. Orriols, Ricardo Toledo, X. Binefa, Petia Radeva, Jordi Vitria, & Juan J. Villanueva. (2000). Probabilistic Saliency Approach for Elongated Structure Detection using Deformable Models..
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J. Garcia, J.M. Sanchez, X. Orriols, & X. Binefa. (2000). Chromatic aberration and depth extraction..
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A. Pujol, Juan J. Villanueva, & H. Wechsler. (2000). Automatic View Based Caricaturing..
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