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Partha Pratim Roy, Eduard Vazquez, Josep Llados, Ramon Baldrich, & Umapada Pal. (2007). A System to Retrieve Text/Symbols from Color Maps using Connected Component and Skeleton Analysis. In J.M. Ogier W. L. J. Llados (Ed.), Seventh IAPR International Workshop on Graphics Recognition (79–78).
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Xavier Otazu, Maria Vanrell, & C. Alejandro Parraga. (2007). Mutiresolution Wavelet Framework Reproduces Induction Effects. Perception 36:167–167, supp.
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C. Alejandro Parraga, Robert Benavente, & Maria Vanrell. (2007). Modeling Colour-Naming Space with Fuzzy Sets. Perception 36:198–198, supp.
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Robert Benavente, & Maria Vanrell. (2007). Parametrizacion del Espacio de Categorias de Color.
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Jose Manuel Alvarez, Antonio Lopez, & Ramon Baldrich. (2007). Shadow Resistant Road Segmentation from a Mobile Monocular System. In 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:9–16.
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Miquel Ferrer, Robert Benavente, Ernest Valveny, J. Garcia, Agata Lapedriza, & Gemma Sanchez. (2008). Aprendizaje Cooperativo Aplicado a la Docencia de las Asignaturas de Programacion en Ingenieria Informatica.
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Eduard Vazquez, & Ramon Baldrich. (2008). Colour Image Segmentation in Presence of Shadows. In 4th European Conference on Colour in Graphics, Imaging and Vision Proceedings (383–387).
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Javier Vazquez, Maria Vanrell, & Ramon Baldrich. (2008). Towards a Psychophysical Evaluation of Colour Constancy Algorithms. In 4th European Conference on Colour in Graphics, Imaging and Vision Proceedings (372–377).
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C. Alejandro Parraga, Robert Benavente, Maria Vanrell, & Ramon Baldrich. (2008). Modelling Inter-Colour Regions of Colour Naming Space. In 4th European Conference on Colour in Graphics, Imaging and Vision Proceedings (218–222).
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Eduard Vazquez, & Maria Vanrell. (2008). Eines per al desenvolupament de competencies de enginyeria en un assignatura de Intel·ligencia Artificial.
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Agata Lapedriza, Jaume Garcia, Ernest Valveny, Robert Benavente, Miquel Ferrer, & Gemma Sanchez. (2008). Una experiencia de aprenentatge basada en projectes en el ambit de la informatica.
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Robert Benavente, Ernest Valveny, Jaume Garcia, Agata Lapedriza, Miquel Ferrer, & Gemma Sanchez. (2008). Una experiencia de adaptacion al EEES de las asignaturas de programacion en Ingenieria Informatica.
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Jose Manuel Alvarez, Antonio Lopez, & Ramon Baldrich. (2008). Illuminant Invariant Model-Based Road Segmentation. In IEEE Intelligent Vehicles Symposium, (1155–1180).
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Xavier Otazu, Maria Vanrell, & C. Alejandro Parraga. (2008). Colour induction effects are modelled by a low-level multiresolution wavelet framework. Perception 37(Suppl.): 107.
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Robert Benavente. (2007). A Parametric Model for Computational Colour Naming (Maria Vanrell, Ed.). Ph.D. thesis, Ediciones Graficas Rey, .
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Robert Benavente, Laura Igual, & Fernando Vilariño. (2008). Current Challenges in Computer Vision.
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Antonio Lopez, J. Hilgenstock, A. Busse, Ramon Baldrich, Felipe Lumbreras, & Joan Serrat. (2008). Temporal Coherence Analysis for Intelligent Headlight Control.
Keywords: Intelligent Headlights
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Fahad Shahbaz Khan, Joost Van de Weijer, & Maria Vanrell. (2009). Top-Down Color Attention for Object Recognition. In 12th International Conference on Computer Vision (pp. 979–986).
Abstract: Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary construction and image representation are performed independent of the intentioned object classes to be detected. In such a framework, combining multiple cues such as shape and color often provides below-expected results. This paper presents a novel method for recognizing object categories when using multiple cues by separating the shape and color cue. Color is used to guide attention by means of a top-down category-specific attention map. The color attention map is then further deployed to modulate the shape features by taking more features from regions within an image that are likely to contain an object instance. This procedure leads to a category-specific image histogram representation for each category. Furthermore, we argue that the method combines the advantages of both early and late fusion. We compare our approach with existing methods that combine color and shape cues on three data sets containing varied importance of both cues, namely, Soccer ( color predominance), Flower (color and shape parity), and PASCAL VOC Challenge 2007 (shape predominance). The experiments clearly demonstrate that in all three data sets our proposed framework significantly outperforms the state-of-the-art methods for combining color and shape information.
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