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J. Martinez, & F. Thomas. (2002). Efficient Computation of Local Geometric Moments. IEEE Transactions on Image Porcessing, 11(9): 1102–1111 (IF: 2.553).
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Xavier Otazu, M. Ribo, M. Peracaula, J.M. Paredes, & J. Nuñez. (2002). Detection of superimposed periodic signals using wavelets. Monthly Notices of the Royal Astronomical Society, 333, 2: 365–372 (IF: 4.671).
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A. Pujol, & Juan J. Villanueva. (2002). A supervised Modification of the Hausdorff distance for visual shape classification. International Journal of Pattern Recognition and Artificial Intelligence, 349–359.
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J.M. Sanchez, X. Binefa, & Jordi Vitria. (2002). Shot Partitioning Based Recognition of Tv Commercials. Multimedia Tools and Applications, 18: 233–247, Kluwer Academic Publishers (IF: 0.421).
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Gemma Sanchez, Josep Llados, & K. Tombre. (2002). A mean string algorithm to compute the average among a set of 2D shapes. PRL - Pattern Recognition Letters, 23(1-3), 203–214.
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Juan J. Villanueva. (2002). Visualization, Imaging and Image Processing..
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M. Bressan, & Jordi Vitria. (2002). Feature Subset Selection in an ICA Space.
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M. Bressan, & Jordi Vitria. (2002). Improving Naive Bayes using Class Conditional ICA.
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David Guillamet, & Jordi Vitria. (2002). Non-negative Matrix Factorization for Face Recognition..
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Josep Llados, Gemma Sanchez, & K. Tombre. (2002). An Error-Correction Graph Grammar to Recognize Texture Symbols..
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Daniel Ponsa, & Xavier Roca. (2002). A Novel Approach to Generate Multiple Shape Models..
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Petia Radeva, M. Bressan, A. Tovar, & Jordi Vitria. (2002). Bayesian Classification for Inspection of Industrial Products..
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Francesc Tous, Agnes Borras, Robert Benavente, Ramon Baldrich, Maria Vanrell, & Josep Llados. (2002). Textual Descriptors for browsing people by visual appearence. In 5è. Congrés Català d’Intel·ligència Artificial CCIA.
Abstract: This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building.
Keywords: Image retrieval, textual descriptors, colour naming, colour normalization, graph matching.
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M. Bressan, & Jordi Vitria. (2002). Independent Component Analysis and Naïve Bayes Classification. Proceedings of the Second IASTED International Conference Visualilzation, Imaging and Image Proceesing VIIP 2002: 496–501., .
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Robert Benavente, Francesc Tous, Ramon Baldrich, & Maria Vanrell. (2002). Statical Modelling of a Colour Naming Space..
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