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Author |
Jiaolong Xu; David Vazquez; Antonio Lopez; Javier Marin; Daniel Ponsa |
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Title |
Learning a Multiview Part-based Model in Virtual World for Pedestrian Detection |
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Conference Article |
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Year |
2013 |
Publication |
IEEE Intelligent Vehicles Symposium |
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Pages |
467 - 472 |
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Keywords |
Pedestrian Detection; Virtual World; Part based |
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Abstract |
State-of-the-art deformable part-based models based on latent SVM have shown excellent results on human detection. In this paper, we propose to train a multiview deformable part-based model with automatically generated part examples from virtual-world data. The method is efficient as: (i) the part detectors are trained with precisely extracted virtual examples, thus no latent learning is needed, (ii) the multiview pedestrian detector enhances the performance of the pedestrian root model, (iii) a top-down approach is used for part detection which reduces the searching space. We evaluate our model on Daimler and Karlsruhe Pedestrian Benchmarks with publicly available Caltech pedestrian detection evaluation framework and the result outperforms the state-of-the-art latent SVM V4.0, on both average miss rate and speed (our detector is ten times faster). |
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Gold Coast; Australia; June 2013 |
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IEEE |
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1931-0587 |
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978-1-4673-2754-1 |
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IV |
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ADAS; 600.054; 600.057 |
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XVL2013; ADAS @ adas @ xvl2013a |
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2214 |
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Author |
M. Ivasic-Kos; M. Pobar; Jordi Gonzalez |
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Title |
Active Player Detection in Handball Videos Using Optical Flow and STIPs Based Measures |
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Conference Article |
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2019 |
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13th International Conference on Signal Processing and Communication Systems |
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In handball videos recorded during the training, multiple players are present in the scene at the same time. Although they all might move and interact, not all players contribute to the currently relevant exercise nor practice the given handball techniques. The goal of this experiment is to automatically determine players on training footage that perform given handball techniques and are therefore considered active. It is a very challenging task for which a precise object detector is needed that can handle cluttered scenes with poor illumination, with many players present in different sizes and distances from the camera, partially occluded, moving fast. To determine which of the detected players are active, additional information is needed about the level of player activity. Since many handball actions are characterized by considerable changes in speed, position, and variations in the player's appearance, we propose using spatio-temporal interest points (STIPs) and optical flow (OF). Therefore, we propose an active player detection method combining the YOLO object detector and two activity measures based on STIPs and OF. The performance of the proposed method and activity measures are evaluated on a custom handball video dataset acquired during handball training lessons. |
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Gold Coast; Australia; December 2019 |
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ICSPCS2 |
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ISE; 600.098; 600.119 |
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Admin @ si @ IPG2019 |
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3415 |
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Author |
Muhammad Anwer Rao; Fahad Shahbaz Khan; Joost Van de Weijer; Jorma Laaksonen |
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Title |
Tex-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition |
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Conference Article |
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2017 |
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19th International Conference on Multimodal Interaction |
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Keywords |
Convolutional Neural Networks; Texture Recognition; Local Binary Paterns |
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Abstract |
Recognizing materials and textures in realistic imaging conditions is a challenging computer vision problem. For many years, local features based orderless representations were a dominant approach for texture recognition. Recently deep local features, extracted from the intermediate layers of a Convolutional Neural Network (CNN), are used as filter banks. These dense local descriptors from a deep model, when encoded with Fisher Vectors, have shown to provide excellent results for texture recognition. The CNN models, employed in such approaches, take RGB patches as input and train on a large amount of labeled images. We show that CNN models, which we call TEX-Nets, trained using mapped coded images with explicit texture information provide complementary information to the standard deep models trained on RGB patches. We further investigate two deep architectures, namely early and late fusion, to combine the texture and color information. Experiments on benchmark texture datasets clearly demonstrate that TEX-Nets provide complementary information to standard RGB deep network. Our approach provides a large gain of 4.8%, 3.5%, 2.6% and 4.1% respectively in accuracy on the DTD, KTH-TIPS-2a, KTH-TIPS-2b and Texture-10 datasets, compared to the standard RGB network of the same architecture. Further, our final combination leads to consistent improvements over the state-of-the-art on all four datasets. |
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Glasgow; Scothland; November 2017 |
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ACM |
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LAMP; 600.109; 600.068; 600.120 |
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Admin @ si @ RKW2017 |
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3038 |
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Author |
David Lloret; Antonio Lopez; Joan Serrat |
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Title |
3-D image Processing and Modeling, workshop on non-linear model-based image analysis. |
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Miscellaneous |
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1998 |
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NMBIA |
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Glasgow, U.K. |
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ADAS |
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ADAS @ adas @ LLS1998c |
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15 |
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Author |
David Lloret; Antonio Lopez; Joan Serrat |
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Title |
Precise registration of CT and MR volumes based on a new creaseness measure |
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Miscellaneous |
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Year |
1998 |
Publication |
Workshop on Non–linear model–based image analysis (NMBIA’98). S. Marshall, N. Harvey and D. Shah Eds. Springer_Verlag London, pgs 15–20 |
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Glasgow (Scottland) |
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ADAS |
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ADAS @ adas @ LLS1998d |
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487 |
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Author |
Naila Murray; Eduard Vazquez |
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Title |
Lacuna Restoration: How to choose a neutral colour? |
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Conference Article |
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2010 |
Publication |
Proceedings of The CREATE 2010 Conference |
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248–252 |
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Abstract |
Painting restoration which involves filling in material loss (called lacuna) is a complex process. Several standard techniques exist to tackle lacuna restoration,
and this article focuses on those techniques that employ a “neutral” colour to mask the defect. Restoration experts often disagree on the choice of such a colour and in fact, the concept of a neutral colour is controversial. We posit that a neutral colour is one that attracts relatively little visual attention for a specific lacuna. We conducted an eye tracking experiment to compare two common neutral
colour selection methods, specifically the most common local colour and the mean local colour. Results obtained demonstrate that the most common local colour triggers less visual attention in general. Notwithstanding, we have observed instances in which the most common colour triggers a significant amount of attention when subjects spent time resolving their confusion about whether or not a lacuna was part of the painting. |
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Gjovik, Norway |
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CREATE |
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CIC |
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no |
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Call Number |
Admin @ si @ MuV2010 |
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1297 |
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Author |
Marta Teres; Eduard Vazquez |
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Title |
Museums, spaces and museographical resources. Current state and proposals for a multidisciplinary framework to open new perspectives |
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Conference Article |
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Year |
2010 |
Publication |
Proceedings of The CREATE 2010 Conference |
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319–323 |
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Two of the main aims of a museum are to communicate its heritage and to make enjoy its visitors. This communication can be done through the pieces itself and the museographical resources but also through the building, the interior design, the light and the colour. Art museums, in opposition with other museums, lack on the application of these additional resources. Such a work necessarily requires a multidisciplinary point of view for a holistic vision of all what a museum implies and to use all its potential as a tool of knowledge and culture for all the visitors. |
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Gjovik, Norway |
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CREATE |
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no |
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Admin @ si @ TeV2010 |
Serial |
1298 |
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Author |
Eduard Vazquez; Ramon Baldrich |
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Title |
Non-supervised goodness measure for image segmentation |
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Conference Article |
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Year |
2010 |
Publication |
Proceedings of The CREATE 2010 Conference |
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334–335 |
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Gjovik, Norway |
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CREATE |
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CIC |
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no |
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CAT @ cat @ VaB2010 |
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1299 |
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Author |
Jaime Moreno; Xavier Otazu; Maria Vanrell |
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Title |
Contribution of CIWaM in JPEG2000 Quantization for Color Images |
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Conference Article |
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2010 |
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Proceedings of The CREATE 2010 Conference |
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132–136 |
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The aim of this work is to explain how to apply perceptual concepts to define a perceptual pre-quantizer and to improve JPEG2000 compressor. The approach consists in quantizing wavelet transform coefficients using some of the human visual system behavior properties. Noise is fatal to image compression performance, because it can be both annoying for the observer and consumes excessive bandwidth when the imagery is transmitted. Perceptual pre-quantization reduces unperceivable details and thus improve both visual impression and transmission properties. The comparison between JPEG2000 without and with perceptual pre-quantization shows that the latter is not favorable in PSNR, but the recovered image is more compressed at the same or even better visual quality measured with a weighted PSNR. Perceptual criteria were taken from the CIWaM(ChromaticInductionWaveletModel). |
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Gjovik (Norway) |
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CREATE |
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CIC |
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no |
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CAT @ cat @ MOV2010b |
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1308 |
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Author |
Javier Vazquez; Maria Vanrell; Robert Benavente |
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Title |
Color names as a constraint for Computer Vision problems |
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Conference Article |
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2010 |
Publication |
Proceedings of The CREATE 2010 Conference |
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324–328 |
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Computer Vision Problems are usually ill-posed. Constraining de gamut of possible solutions is then a necessary step. Many constrains for different problems have been developed during years. In this paper, we present a different way of constraining some of these problems: the use of color names. In particular, we will focus on segmentation, representation ans constancy. |
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Gjovik (Norway) |
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CREATE |
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CIC |
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no |
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CAT @ cat @ VVB2010 |
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1328 |
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Author |
Fahad Shahbaz Khan; Joost Van de Weijer; Maria Vanrell |
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Title |
Who Painted this Painting? |
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Conference Article |
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2010 |
Publication |
Proceedings of The CREATE 2010 Conference |
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329–333 |
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Gjovik (Norway) |
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CAT @ cat @ KWV2010 |
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1329 |
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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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Conference Article |
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2010 |
Publication |
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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CIC |
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no |
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CAT @ cat @ BeW2010 |
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1330 |
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Author |
Michal Drozdzal; Petia Radeva; Santiago Segui; Laura Igual; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria |
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Title |
System and Method for Improving a Discriminative Model |
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Patent |
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2012 |
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US 61/450,886 |
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Given Imaging |
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US Patent Office |
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MILAB; OR;MV |
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no |
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Admin @ si @ DRS2012a |
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1896 |
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Author |
Michal Drozdzal; Santiago Segui; Petia Radeva; Jordi Vitria; Laura Igual |
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Title |
System and Method for Displaying Motility Events in an in Vivo Image Stream |
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Patent |
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2011 |
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US 61/592,786 |
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Given Imaging |
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US Patent Office |
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MILAB; OR;MV |
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Admin @ si @ DSR2011 |
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1897 |
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Author |
David Guillamet; Jordi Vitria |
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Title |
Skin segmentation using non linear principal component analysis. |
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Miscellaneous |
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1999 |
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Keywords |
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Abstract |
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Address |
Girona. |
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Corporate Author |
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Thesis |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
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ISBN |
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Expedition |
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Conference |
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Notes |
OR;MV |
Approved |
no |
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Call Number |
BCNPCL @ bcnpcl @ GuV1999b |
Serial |
48 |
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