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Author |
Javier Vazquez; Maria Vanrell; Ramon Baldrich |
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Title |
Towards a Psychophysical Evaluation of Colour Constancy Algorithms |
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Conference Article |
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2008 |
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4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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372–377 |
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Terrassa (Spain) |
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CGIV08 |
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CAT @ cat @ VVB2008a |
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968 |
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Author |
C. Alejandro Parraga; Robert Benavente; Maria Vanrell; Ramon Baldrich |
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Title |
Modelling Inter-Colour Regions of Colour Naming Space |
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Conference Article |
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2008 |
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4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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218–222 |
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Terrassa (Spain) |
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CGIV08 |
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CAT;CIC |
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CAT @ cat @ PBV2008 |
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969 |
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Author |
Robert Benavente; Maria Vanrell; Ramon Baldrich |
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Title |
Parametric Fuzzy Sets for Automatic Color Naming |
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Year |
2008 |
Publication |
Journal of the Optical Society of America A |
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Volume |
25 |
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10 |
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2582–2593 |
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CIC |
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CAT @ cat @ BVB2008 |
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1004 |
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Author |
Partha Pratim Roy; Eduard Vazquez; Josep Llados; Ramon Baldrich; Umapada Pal |
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Title |
A System to Segment Text and Symbols from Color Maps |
Type |
Book Chapter |
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Year |
2008 |
Publication |
Graphics Recognition. Recent Advances and New Opportunities |
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Volume |
5046 |
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245-256 |
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DAG;CIC |
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no |
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Call Number |
CAT @ cat @ RVL2008 |
Serial |
1005 |
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Author |
Eduard Vazquez; Maria Vanrell |
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Title |
Eines per al desenvolupament de competencies de enginyeria en un assignatura de Intel·ligencia Artificial |
Type |
Miscellaneous |
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Year |
2008 |
Publication |
V Jornades d’Innovacio Docent (UAB) |
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Bellaterra (Spain) |
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CIC |
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no |
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Call Number |
CAT @ cat @ VaV2008 |
Serial |
1011 |
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Author |
Eduard Vazquez; Joost Van de Weijer; Ramon Baldrich |
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Title |
Image Segmentation in the Presence of Shadows and Highligts |
Type |
Conference Article |
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Year |
2008 |
Publication |
10th European Conference on Computer Vision |
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Volume |
5305 |
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Pages |
1–14 |
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Marseille (France) |
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ECCV |
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CAT;CIC |
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no |
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Call Number |
CAT @ cat @ VVB2008b |
Serial |
1013 |
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Author |
Agata Lapedriza; Jaume Garcia; Ernest Valveny; Robert Benavente; Miquel Ferrer; Gemma Sanchez |
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Title |
Una experiencia de aprenentatge basada en projectes en el ambit de la informatica |
Type |
Miscellaneous |
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Year |
2008 |
Publication |
V Jornades d’Innovacio Docent (UAB) |
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Volume |
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Pages |
63 |
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Bellaterra (Spain) |
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OR; IAM; DAG; CIC; MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ LGV2008 |
Serial |
1030 |
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Author |
Robert Benavente; Ernest Valveny; Jaume Garcia; Agata Lapedriza; Miquel Ferrer; Gemma Sanchez |
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Title |
Una experiencia de adaptacion al EEES de las asignaturas de programacion en Ingenieria Informatica |
Type |
Miscellaneous |
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Year |
2008 |
Publication |
V Congreso Iberoamericano de Docencia Universitaria, pp. 213–216 |
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Valencia |
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OR;DAG;CIC;MV |
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no |
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BCNPCL @ bcnpcl @ BVG2008 |
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1031 |
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Author |
Jose Manuel Alvarez; Antonio Lopez; Ramon Baldrich |
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Title |
Illuminant Invariant Model-Based Road Segmentation |
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Conference Article |
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Year |
2008 |
Publication |
IEEE Intelligent Vehicles Symposium, |
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Pages |
1155–1180 |
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Keywords |
road detection |
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Address |
Eindhoven (The Netherlands) |
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ADAS;CIC |
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ADAS @ adas @ ALB2008 |
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1045 |
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Author |
Xavier Otazu; Maria Vanrell; C. Alejandro Parraga |
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Title |
Colour induction effects are modelled by a low-level multiresolution wavelet framework |
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2008 |
Publication |
Perception 37(Suppl.): 107 |
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CIC |
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CAT @ cat @ OVP2008b |
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1055 |
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Author |
Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat |
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Title |
Nightime Vehicle Detecion for Intelligent Headlight Control |
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Conference Article |
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2008 |
Publication |
Advanced Concepts for Intelligent Vision Systems, 10th International Conference, Proceedings, |
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5259 |
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113–124 |
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Intelligent Headlights; vehicle detection |
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Juan-les-Pins, France |
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ACIVS |
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ADAS;CIC |
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no |
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ADAS @ adas @ LHB2008a |
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1098 |
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Author |
Robert Benavente |
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Title |
A Parametric Model for Computational Colour Naming |
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2007 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Maria Vanrell |
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CAT @ cat @ Ben2007 |
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1108 |
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Author |
Robert Benavente; Laura Igual; Fernando Vilariño |
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Title |
Current Challenges in Computer Vision |
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2008 |
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Proccedings of the Third Internal Workshop |
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978-84-936529-0-6 |
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CVCRD |
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MILAB;CIC;SIAI |
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BCNPCL @ bcnpcl @ BIV2008 |
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1110 |
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Author |
Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat |
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Title |
Temporal Coherence Analysis for Intelligent Headlight Control |
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Miscellaneous |
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2008 |
Publication |
2nd Workshop on Perception, Planning and Navigation for Intelligent Vehicles |
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59–64 |
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Intelligent Headlights |
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IROS |
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ADAS;CIC |
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ADAS @ adas @ LHB2008b |
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1112 |
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Author |
C. Alejandro Parraga; Robert Benavente; Maria Vanrell; Ramon Baldrich |
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Title |
Psychophysical measurements to model inter-colour regions of colour-naming space |
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Journal Article |
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Year |
2009 |
Publication |
Journal of Imaging Science and Technology |
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53 |
Issue |
3 |
Pages |
031106 (8 pages) |
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image processing; Analysis |
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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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CIC |
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CAT @ cat @ PBV2009 |
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1157 |
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Author |
Javier Vazquez; C. Alejandro Parraga; Maria Vanrell; Ramon Baldrich |
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Title |
Color Constancy Algorithms: Psychophysical Evaluation on a New Dataset |
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Journal Article |
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Year |
2009 |
Publication |
Journal of Imaging Science and Technology |
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53 |
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3 |
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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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CAT @ cat @ VPV2009a |
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1171 |
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Javier Vazquez; C. Alejandro Parraga; Maria Vanrell |
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Ordinal pairwise method for natural images comparison |
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2009 |
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Perception |
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38 |
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180 |
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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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CAT @ cat @ VPV2009b |
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1191 |
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Robert Benavente; C. Alejandro Parraga; Maria Vanrell |
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Colour categories boundaries are better defined in contextual conditions |
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2009 |
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Perception |
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38 |
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36 |
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In a previous experiment [Parraga et al, 2009 Journal of Imaging Science and Technology 53(3)] the boundaries between basic colour categories were measured by asking subjects to categorize colour samples presented in isolation (ie on a dark background) using a YES/NO paradigm. Results showed that some boundaries (eg green – blue) were very diffuse and the subjects' answers presented bimodal distributions, which were attributed to the emergence of non-basic categories in those regions (eg turquoise). To confirm these results we performed a new experiment focussed on the boundaries where bimodal distributions were more evident. In this new experiment rectangular colour samples were presented surrounded by random colour patches to simulate contextual conditions on a calibrated CRT monitor. The names of two neighbouring colours were shown at the bottom of the screen and subjects selected the boundary between these colours by controlling the chromaticity of the central patch, sliding it across these categories' frontier. Results show that in this new experimental paradigm, the formerly uncertain inter-colour category boundaries are better defined and the dispersions (ie the bimodal distributions) that occurred in the previous experiment disappear. These results may provide further support to Berlin and Kay's basic colour terms theory. |
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CAT @ cat @ BPV2009 |
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1192 |
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