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Juan J. Villanueva, Jordi Gonzalez, Javier Varona, & Xavier Roca. (2002). Aspaces: Action Spaces for Recognition and Synthesis of Human Actions..
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Cristina Cañero, Fernando Vilariño, & Petia Radeva. (2002). Predictive (un) distortion model and 3D Reconstruction by Biplane Snakes. IEEE Transactions on Medical Imaging (IF: 2.911).
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Judit Martinez, & F. Thomas. (2002). Efficient Computation of Local Geometric Moments. IEEE Transactions on Image Porcessing, (IF: 2.553), 11(9), 1102–1111.
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David Guillamet, & Jordi Vitria. (2002). Determining a Suitable Metric when using Non-negative Matrix Factorization..
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M. Bressan, & Jordi Vitria. (2002). Improving Naive Bayes using Class Condicitonal ICA..
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Oriol Pujol, Petia Radeva, J. Mauri, & E Fernandez-Nofrerias. (2002). Automatic segmentation of lumen in Intravascular Ultrasound Images: An evaluation of texture feature extractors..
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Fernando Vilariño, & Petia Radeva. (2002). Patch-Optimized Discriminant Active Contours for Medical Image Segmentation. In Iberoamerican Conference on Artificial Intelligence. Springer Verlag.
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David Rotger, Petia Radeva, E Fernandez-Nofrerias, & J. Mauri. (2002). Registering External and Internal Morphological Images of Coronary Vessels..
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Josep Llados, Gemma Sanchez, & K. Tombre. (2002). An Error-Correction Graph Grammar to Recognize Texture Symbols..
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Josep Llados, Ernest Valveny, Gemma Sanchez, & Enric Marti. (2002). Symbol recognition: current advances and perspectives. In Dorothea Blostein and Young- Bin Kwon (Ed.), Graphics Recognition Algorithms And Applications (Vol. 2390, pp. 104–128). LNCS. Springer-Verlag.
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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M. Bressan, & Jordi Vitria. (2002). Improving Naive Bayes using Class Conditional ICA.
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Judit Martinez. (2002). Automotive sector and Machine Vision (Vol. 1).
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Misael Rosales. (2002). Empirical Simulation Moldel of Intravascular Ultrasound.
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David Rotger. (2002). Multimodal Registration of Intravascular Ultrasound Images and Angiography.
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Francesc Tous. (2002). Study of Colour Normalisation for Skin Detection..
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