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Author Robert Benavente; Francesc Tous; Ramon Baldrich; Maria Vanrell
Title Statical Modelling of a Colour Naming Space. Type (down) Miscellaneous
Year 2002 Publication Proceedings of the 1st. European Conference on Colour in Graphics Imaging and Vision: 406–411. Abbreviated Journal
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Call Number CAT @ cat @ BTB2002 Serial 289
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Author Ramon Baldrich; Ricardo Toledo; Ernest Valveny; Maria Vanrell
Title Perceptual Colour Image Segmentation. Type (down) Miscellaneous
Year 2002 Publication Proceeding of the Second IASTED International Conference Visualization, Imaging and Image Proceesing VIIP 2002: 145–150. Abbreviated Journal
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Call Number CAT @ cat @ BTV2002 Serial 290
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Author Ramon Baldrich; Maria Vanrell; Robert Benavente; Anna Salvatella
Title Color Enhancement based on perceptual sharpening Type (down) Miscellaneous
Year 2003 Publication Proceedings of the IEEE International Conference on Image Processing Abbreviated Journal
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Address Barcelona
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Call Number CAT @ cat @ BVB2003 Serial 370
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Author Anna Salvatella; Maria Vanrell; Ramon Baldrich
Title Subtexture Components for Texture Description Type (down) Miscellaneous
Year 2003 Publication Lecture Notes in Computer Science, vol 2652, pp 884–892 Abbreviated Journal
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Address Springer-Verlag
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Call Number CAT @ cat @ SVR2003 Serial 421
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Author Robert Benavente; Maria Vanrell
Title Fuzzy Colour Naming Based on Sigmoid Membership Functions. Type (down) Miscellaneous
Year 2004 Publication CGIV 2004 Second European Conference on Colour in Graphics, Imaging and Vision, 135:139 Abbreviated Journal
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Address Aachen (Germany)
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Call Number CAT @ cat @ BeV2004 Serial 441
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Author Xavier Otazu; Maria Vanrell
Title Building Perceived Colour Images. Type (down) Miscellaneous
Year 2004 Publication CGIV 2004 Second European Conference on Colour in Graphics, Imaging, and Vision, 140:145 Abbreviated Journal
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Address Aachen (Germany)
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Call Number CAT @ cat @ OtV2004 Serial 450
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Author Francesc Tous; Maria Vanrell; Ramon Baldrich
Title Exploring Colour Constancy Solutions. Type (down) Miscellaneous
Year 2004 Publication CGIV 2004 Second European Conference on Colour in Graphics, Imaging, and Vision, 24:29 Abbreviated Journal
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Address Aachen (Germany)
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Call Number CAT @ cat @ TVB2004 Serial 452
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Author Xavier Otazu; Maria Vanrell
Title A surround-induction function to unify assimilation and contrast in a computational model of color apearance Type (down) Miscellaneous
Year 2005 Publication Perception supplement, ECVP05 Abstracts, 34: 215 Abbreviated Journal
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Call Number CAT @ cat @ OtV2005a Serial 568
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Author Robert Benavente; Maria Vanrell
Title Parametrizacion del Espacio de Categorias de Color Type (down) Miscellaneous
Year 2007 Publication Proceedings del VIII Congreso Nacional del Color Abbreviated Journal
Volume Issue Pages 77–78
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Address Madrid (Spain)
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Area Expedition Conference CNC’07
Notes CAT;CIC Approved no
Call Number CAT @ cat @ BeV2007 Serial 905
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Author Eduard Vazquez; Maria Vanrell
Title Eines per al desenvolupament de competencies de enginyeria en un assignatura de Intel·ligencia Artificial Type (down) Miscellaneous
Year 2008 Publication V Jornades d’Innovacio Docent (UAB) Abbreviated Journal
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Address Bellaterra (Spain)
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Call Number CAT @ cat @ VaV2008 Serial 1011
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Author Maria Vanrell; Jordi Vitria; Xavier Roca
Title A multidimensional scaling approach to explore the behavior of a texture perception algorithm. Type (down) Journal Article
Year 1997 Publication Machine Vision and Applications Abbreviated Journal
Volume 9 Issue Pages 262–271
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Notes OR;ISE;CIC;MV Approved no
Call Number BCNPCL @ bcnpcl @ VVR1997 Serial 35
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Author C. Alejandro Parraga; Robert Benavente; Maria Vanrell; Ramon Baldrich
Title Psychophysical measurements to model inter-colour regions of colour-naming space Type (down) Journal Article
Year 2009 Publication Journal of Imaging Science and Technology Abbreviated Journal
Volume 53 Issue 3 Pages 031106 (8 pages)
Keywords image processing; Analysis
Abstract JCR Impact Factor 2009: 0.391
In this paper, we present a fuzzy-set of parametric functions which segment the CIE lab space into eleven regions which correspond to the group of common universal categories present in all evolved languages as identified by anthropologists and linguists. The set of functions is intended to model a color-name assignment task by humans and differs from other models in its emphasis on the inter-color boundary regions, which were explicitly measured by means of a psychophysics experiment. In our particular implementation, the CIE lab space was segmented into eleven color categories using a Triple Sigmoid as the fuzzy sets basis, whose parameters are included in this paper. The model’s parameters were adjusted according to the psychophysical results of a yes/no discrimination paradigm where observers had to choose (English) names for isoluminant colors belonging to regions in-between neighboring categories. These colors were presented on a calibrated CRT monitor (14-bit x 3 precision). The experimental results show that inter- color boundary regions are much less defined than expected and color samples other than those near the most representatives are needed to define the position and shape of boundaries between categories. The extended set of model parameters is given as a table.
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Call Number CAT @ cat @ PBV2009 Serial 1157
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Author Javier Vazquez; C. Alejandro Parraga; Maria Vanrell; Ramon Baldrich
Title Color Constancy Algorithms: Psychophysical Evaluation on a New Dataset Type (down) Journal Article
Year 2009 Publication Journal of Imaging Science and Technology Abbreviated Journal
Volume 53 Issue 3 Pages 031105–9
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Abstract The estimation of the illuminant of a scene from a digital image has been the goal of a large amount of research in computer vision. Color constancy algorithms have dealt with this problem by defining different heuristics to select a unique solution from within the feasible set. The performance of these algorithms has shown that there is still a long way to go to globally solve this problem as a preliminary step in computer vision. In general, performance evaluation has been done by comparing the angular error between the estimated chromaticity and the chromaticity of a canonical illuminant, which is highly dependent on the image dataset. Recently, some workers have used high-level constraints to estimate illuminants; in this case selection is based on increasing the performance on the subsequent steps of the systems. In this paper we propose a new performance measure, the perceptual angular error. It evaluates the performance of a color constancy algorithm according to the perceptual preferences of humans, or naturalness (instead of the actual optimal solution) and is independent of the visual task. We show the results of a new psychophysical experiment comparing solutions from three different color constancy algorithms. Our results show that in more than a half of the judgments the preferred solution is not the one closest to the optimal solution. Our experiments were performed on a new dataset of images acquired with a calibrated camera with an attached neutral grey sphere, which better copes with the illuminant variations of the scene.
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Call Number CAT @ cat @ VPV2009a Serial 1171
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Author Javier Vazquez; C. Alejandro Parraga; Maria Vanrell
Title Ordinal pairwise method for natural images comparison Type (down) Journal Article
Year 2009 Publication Perception Abbreviated Journal PER
Volume 38 Issue Pages 180
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Abstract 38(Suppl.)ECVP Abstract Supplement
We developed a new psychophysical method to compare different colour appearance models when applied to natural scenes. The method was as follows: two images (processed by different algorithms) were displayed on a CRT monitor and observers were asked to select the most natural of them. The original images were gathered by means of a calibrated trichromatic digital camera and presented one on top of the other on a calibrated screen. The selection was made by pressing on a 6-button IR box, which allowed observers to consider not only the most natural but to rate their selection. The rating system allowed observers to register how much more natural was their chosen image (eg, much more, definitely more, slightly more), which gave us valuable extra information on the selection process. The results were analysed considering both the selection as a binary choice (using Thurstone's law of comparative judgement) and using Bradley-Terry method for ordinal comparison. Our results show a significant difference in the rating scales obtained. Although this method has been used in colour constancy algorithm comparisons, its uses are much wider, eg to compare algorithms of image compression, rendering, recolouring, etc.
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Call Number CAT @ cat @ VPV2009b Serial 1191
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