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Author |
Robert Benavente; C. Alejandro Parraga; Maria Vanrell |
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Title |
La influencia del contexto en la definicion de las fronteras entre las categorias cromaticas |
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Conference Article |
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Year |
2010 |
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9th Congreso Nacional del Color |
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92–95 |
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Categorización del color; Apariencia del color; Influencia del contexto; Patrones de Mondrian; Modelos paramétricos |
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En este artículo presentamos los resultados de un experimento de categorización de color en el que las muestras se presentaron sobre un fondo multicolor (Mondrian) para simular los efectos del contexto. Los resultados se comparan con los de un experimento previo que, utilizando un paradigma diferente, determinó las fronteras sin tener en cuenta el contexto. El análisis de los resultados muestra que las fronteras obtenidas con el experimento en contexto presentan menos confusión que las obtenidas en el experimento sin contexto. |
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Alicante (Spain) |
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978-84-9717-144-1 |
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CNC |
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no |
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CAT @ cat @ BPV2010 |
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1327 |
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Author |
Robert Benavente; C. Alejandro Parraga; Maria Vanrell |
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Title |
Colour categories boundaries are better defined in contextual conditions |
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Journal Article |
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Year |
2009 |
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Perception |
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PER |
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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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Author |
Robert Benavente; M.C. Olive; Maria Vanrell; Ramon Baldrich |
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Title |
Colour Perception: A Simple Method for Colour Naming. |
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Miscellaneous |
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1999 |
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Girona |
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CAT @ cat @ BOV1999 |
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47 |
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Author |
Shida Beigpour; Joost Van de Weijer |
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Title |
Photo-Realistic Color Alteration for Architecture and Design |
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2010 |
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Proceedings of The CREATE 2010 Conference |
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84–88 |
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As color is a strong stimuli we receive from the exterior world, choosing the right color can prove crucial in creating the desired architecture and desing. We propose a framework to apply a realistic color change on both objects and their illuminant lights for snapshots of architectural designs, in order to visualize and choose the right color before actully applying the change in the real world. The proposed framework is based on the laws of physics in order to accomplish realistic and physically plausible results. |
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Gjovik (Norway) |
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CREATE |
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no |
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CAT @ cat @ BeW2010 |
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1330 |
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Author |
Robert Benavente; Maria Vanrell |
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Title |
Parametrizacion del Espacio de Categorias de Color |
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Miscellaneous |
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2007 |
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Proceedings del VIII Congreso Nacional del Color |
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77–78 |
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Madrid (Spain) |
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CNC’07 |
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CAT;CIC |
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no |
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CAT @ cat @ BeV2007 |
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905 |
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Author |
Robert Benavente; Maria Vanrell |
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Title |
Fuzzy Colour Naming Based on Sigmoid Membership Functions. |
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Miscellaneous |
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2004 |
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CGIV 2004 Second European Conference on Colour in Graphics, Imaging and Vision, 135:139 |
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Aachen (Germany) |
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CIC |
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no |
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CAT @ cat @ BeV2004 |
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441 |
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Author |
Robert Benavente; Maria Vanrell |
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Title |
A colour naming experiment |
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Report |
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2001 |
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CVC Technical Report #56 |
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CVC (UAB) |
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CIC |
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CAT @ cat @ BeV2001 |
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78 |
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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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PhD Thesis |
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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 |
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Dealing with colour variability: application to a colour naming task |
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1999 |
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CVC Technical Report #32 |
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CVC (UAB) |
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CIC |
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CAT @ cat @ Ben1999 |
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53 |
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Author |
Robert Benavente; Ramon Baldrich; M.C. Olive; Maria Vanrell |
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Title |
Colour Naming Considering the Colour Variability Problem. |
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Miscellaneous |
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2000 |
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Computacion y Sistemas, 4(1):30–43. |
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CIC |
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CAT @ cat @ BBO2000 |
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242 |
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Author |
Ramon Baldrich |
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Perceptual approach to a computational colour-texture representation for surface inspection. |
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2001 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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CIC |
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CAT @ cat @ Bal2001 |
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73 |
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Author |
Susana Alvarez; Anna Salvatella; Maria Vanrell; Xavier Otazu |
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Title |
Perceptual color texture codebooks for retrieving in highly diverse texture datasets |
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Conference Article |
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2010 |
Publication |
20th International Conference on Pattern Recognition |
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866–869 |
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Color and texture are visual cues of different nature, their integration in a useful visual descriptor is not an obvious step. One way to combine both features is to compute texture descriptors independently on each color channel. A second way is integrate the features at a descriptor level, in this case arises the problem of normalizing both cues. A significant progress in the last years in object recognition has provided the bag-of-words framework that again deals with the problem of feature combination through the definition of vocabularies of visual words. Inspired in this framework, here we present perceptual textons that will allow to fuse color and texture at the level of p-blobs, which is our feature detection step. Feature representation is based on two uniform spaces representing the attributes of the p-blobs. The low-dimensionality of these text on spaces will allow to bypass the usual problems of previous approaches. Firstly, no need for normalization between cues; and secondly, vocabularies are directly obtained from the perceptual properties of text on spaces without any learning step. Our proposal improve current state-of-art of color-texture descriptors in an image retrieval experiment over a highly diverse texture dataset from Corel. |
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Istanbul (Turkey) |
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1051-4651 |
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978-1-4244-7542-1 |
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ICPR |
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CIC |
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no |
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CAT @ cat @ ASV2010b |
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1426 |
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Author |
Susana Alvarez; Anna Salvatella; Maria Vanrell; Xavier Otazu |
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Title |
3D Texton Spaces for color-texture retrieval |
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Conference Article |
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2010 |
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7th International Conference on Image Analysis and Recognition |
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6111 |
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354–363 |
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Color and texture are visual cues of different nature, their integration in an useful visual descriptor is not an easy problem. One way to combine both features is to compute spatial texture descriptors independently on each color channel. Another way is to do the integration at the descriptor level. In this case the problem of normalizing both cues arises. In this paper we solve the latest problem by fusing color and texture through distances in texton spaces. Textons are the attributes of image blobs and they are responsible for texture discrimination as defined in Julesz’s Texton theory. We describe them in two low-dimensional and uniform spaces, namely, shape and color. The dissimilarity between color texture images is computed by combining the distances in these two spaces. Following this approach, we propose our TCD descriptor which outperforms current state of art methods in the two different approaches mentioned above, early combination with LBP and late combination with MPEG-7. This is done on an image retrieval experiment over a highly diverse texture dataset from Corel. |
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Springer Berlin Heidelberg |
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A.C. Campilho and M.S. Kamel |
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LNCS |
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0302-9743 |
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978-3-642-13771-6 |
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ICIAR |
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CIC |
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CAT @ cat @ ASV2010a |
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1325 |
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Author |
Susana Alvarez; Xavier Otazu; Maria Vanrell |
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Title |
Image Segmentation Based on Inter-Feature Distance Maps |
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2005 |
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Frontiers in Artificial Intelligence and Applications, IOS Press, 131: 75–82 |
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CAT @ cat @ AOV2005 |
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569 |
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Author |
Gerard Canal; Cecilio Angulo; Sergio Escalera |
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Gesture based Human Multi-Robot interaction |
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2015 |
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IEEE International Joint Conference on Neural Networks IJCNN2015 |
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The emergence of robot applications for nontechnical users implies designing new ways of interaction between robotic platforms and users. The main goal of this work is the development of a gestural interface to interact with robots
in a similar way as humans do, allowing the user to provide information of the task with non-verbal communication. The gesture recognition application has been implemented using the Microsoft’s KinectTM v2 sensor. Hence, a real-time algorithm based on skeletal features is described to deal with both, static
gestures and dynamic ones, being the latter recognized using a weighted Dynamic Time Warping method. The gesture recognition application has been implemented in a multi-robot case.
A NAO humanoid robot is in charge of interacting with the users and respond to the visual signals they produce. Moreover, a wheeled Wifibot robot carries both the sensor and the NAO robot, easing navigation when necessary. A broad set of user tests have been carried out demonstrating that the system is, indeed, a
natural approach to human robot interaction, with a fast response and easy to use, showing high gesture recognition rates. |
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Killarney; Ireland; July 2015 |
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IJCNN |
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HuPBA;MILAB |
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no |
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CAE2015a |
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2651 |
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