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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
M. Gonzalez-Audicana; Xavier Otazu; O. Fors; R Garcia; J. Nuñez |
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Fusion of different spatial and spectral resolution images: development, apllication and comparison of new methods based on wavelets. |
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2002 |
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Proceedings of the 1st. International Symposium Recent Advances in Quantitative Remote Sensing. |
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CAT @ cat @ GOF2002 |
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291 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
M. Gonzalez-Audicana; Xavier Otazu; O. Fors; A. Seco |
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Comparison between Mallats and the trous discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images |
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2005 |
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International Journal of Remote Sensing, 26(3):595–614 (IF: 0.925) |
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CAT @ cat @ GOF2005 |
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530 |
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M. Gomez; Josefina Mauri; Eduard Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Debora Gil; Petia Radeva |
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Title |
Reconstrucción de un modelo espacio-temporal de la luz del vaso a partir de secuencias de ecografía intracoronaria |
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2002 |
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XXXVIII Congreso Nacional de la Sociedad Española de Cardiología. |
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IAM;ADAS;MILAB |
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IAM @ iam @ GMF2002d |
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1516 |
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M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Petia Radeva; David Rotger; V. Valle |
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Nuevos Avances para la correlacion de imagenes angiograficas y de ecograia intracoronaria. |
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2002 |
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Congreso de las Enfermedades Cardiovasculares, XXXVIII Congreso de la Sociedad Española de Cardiologia. |
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Madrid, Espanya |
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MILAB |
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BCNPCL @ bcnpcl @ GMF2002c |
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309 |
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M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Oriol Pujol; Petia Radeva |
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Title |
Diferenciacion de las estructuras del vaso coronario mediante el procesamiento de imagenes y el analisis de las diferentes texturas a partir de la ecografia intracoronaria |
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2002 |
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XXXVIII Congreso Nacional de la Sociedad Española de Cardiologia |
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Madrid |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ GMF2002f |
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433 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Misael Rosales; Petia Radeva |
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Title |
Modelo fisico para la simulacion de ultrasonido Intravascular. |
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2002 |
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XXXVIII Congreso Nacional de la Sociedad Española de Cardiologia. |
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Madrid, Espanya |
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MILAB |
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BCNPCL @ bcnpcl @ GMF2002b |
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308 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; David Rotger; Petia Radeva; V. Valle |
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Una nova aplicacio informatica per a la correlacio d imatges angiografiques i d ecografia intracoronaria. |
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2002 |
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Revista de la Societat Catalana de Cardiologia, 4(4): 42, XIV Congres de la Societat Catalana de Cardiologia. |
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Barcelona, Espanya |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ GMF2002a |
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307 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
M. Danelljan; Fahad Shahbaz Khan; Michael Felsberg; Joost Van de Weijer |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Adaptive color attributes for real-time visual tracking |
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2014 |
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27th IEEE Conference on Computer Vision and Pattern Recognition |
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1090 - 1097 |
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Visual tracking is a challenging problem in computer vision. Most state-of-the-art visual trackers either rely on luminance information or use simple color representations for image description. Contrary to visual tracking, for object
recognition and detection, sophisticated color features when combined with luminance have shown to provide excellent performance. Due to the complexity of the tracking problem, the desired color feature should be computationally
efficient, and possess a certain amount of photometric invariance while maintaining high discriminative power.
This paper investigates the contribution of color in a tracking-by-detection framework. Our results suggest that color attributes provides superior performance for visual tracking. We further propose an adaptive low-dimensional
variant of color attributes. Both quantitative and attributebased evaluations are performed on 41 challenging benchmark color sequences. The proposed approach improves the baseline intensity-based tracker by 24% in median distance precision. Furthermore, we show that our approach outperforms
state-of-the-art tracking methods while running at more than 100 frames per second. |
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Nottingham; UK; September 2014 |
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CIC; LAMP; 600.074; 600.079 |
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Admin @ si @ DKF2014 |
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2509 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
M. Cruz; Cristhian A. Aguilera-Carrasco; Boris X. Vintimilla; Ricardo Toledo; Angel Sappa |
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Cross-spectral image registration and fusion: an evaluation study |
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2015 |
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2nd International Conference on Machine Vision and Machine Learning |
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multispectral imaging; image registration; data fusion; infrared and visible spectra |
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This paper presents a preliminary study on the registration and fusion of cross-spectral imaging. The objective is to evaluate the validity of widely used computer vision approaches when they are applied at different
spectral bands. In particular, we are interested in merging images from the infrared (both long wave infrared: LWIR and near infrared: NIR) and visible spectrum (VS). Experimental results with different data sets are presented. |
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Barcelona; July 2015 |
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MVML |
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ADAS; 600.076 |
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Admin @ si @ CAV2015 |
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2629 |
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M. Campos-Taberner; Adriana Romero; Carlo Gatta; Gustavo Camps-Valls |
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Title |
Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination |
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2015 |
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IEEE International Geoscience and Remote Sensing Symposium IGARSS2015 |
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4169 - 4172 |
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This paper studies the level of complementary information conveyed by extremely high resolution LiDAR and optical images. We pursue this goal following an indirect approach via unsupervised spatial-spectral feature extraction. We used a recently presented unsupervised convolutional neural network trained to enforce both population and lifetime spar-sity in the feature representation. We derived independent and joint feature representations, and analyzed the sparsity scores and the discriminative power. Interestingly, the obtained results revealed that the RGB+LiDAR representation is no longer sparse, and the derived basis functions merge color and elevation yielding a set of more expressive colored edge filters. The joint feature representation is also more discriminative when used for clustering and topological data visualization. |
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Milan; Italy; July 2015 |
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IGARSS |
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LAMP; 600.079;MILAB |
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Admin @ si @ CRG2015 |
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2724 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
M. Bressan; Jordi Vitria |
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Title |
Independent Modes of Variation in Point Distribution Models |
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Miscellaneous |
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2001 |
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In C. Arcelli, L.P. Cordella, G. Sanniti di Baja (Eds.): Visual Form 2001 4tth International Workshop on Visual Visual Form 2001 4tth International Workshop on Visual Form, IWVF4, Proceedings, LNCS 2059, Springer Verlag, 123 |
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Capri, Italia |
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OR;MV |
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BCNPCL @ bcnpcl @ BVi2001 |
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80 |
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M. Bressan; Jordi Vitria |
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Feature Subset Selection in an ICA Space |
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2002 |
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BCNPCL @ bcnpcl @ BrV2002b |
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M. Bressan; Jordi Vitria |
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Improving Naive Bayes using Class Conditional ICA |
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2002 |
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F. Garijo, J. Riquelme, M. Toro, (Eds.), Advances in Artificial Intelligece–Iberamia, LNAI 2527: 1–10, Springer Verlag Series. |
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BCNPCL @ bcnpcl @ BrV2002d |
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M. Bressan; Jordi Vitria |
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Title |
Independent Component Analysis and Naïve Bayes Classification. |
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2002 |
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Proceedings of the Second IASTED International Conference Visualilzation, Imaging and Image Proceesing VIIP 2002: 496–501. |
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OR;MV |
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BCNPCL @ bcnpcl @ BrV2002a |
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288 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
M. Bressan; Jordi Vitria |
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Title |
Improving Naive Bayes using Class Condicitonal ICA. |
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2002 |
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Iberoamerican Conference on Artificial Intelligence IBERAMIA 2002. |
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Sevilla, Espanya |
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Call Number |
BCNPCL @ bcnpcl @ BrV2002e |
Serial |
305 |
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