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Author |
O. Fors; Xavier Otazu; J. Nuñez |
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Title |
Fusion Mediante Wavelets de Imagenes Spot-pan y del Satelite Tailandes TMSAT. |
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Miscellaneous |
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2001 |
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Teledeteccion, Medio Ambiente y Cambio Global, IX Congreso Nacional de Teledeteccion, 546–550. |
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CIC |
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CAT @ cat @ FON2001 |
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94 |
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Author |
Xavier Otazu; J. Nuñez |
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Title |
Algoritmo de Clasificacion no Supervisada Basado en Wavelets. |
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Miscellaneous |
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2001 |
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Teledeteccion, Medio Ambiente y Cambio Global, IX Congreso Nacional de Teledeteccion, 437–440. |
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CIC |
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CAT @ cat @ ONu2001 |
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147 |
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Author |
Craig Von Land; Ricardo Toledo; Juan J. Villanueva |
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Title |
CARE: Computer Assisted Radiology Environment |
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1996 |
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Tecnologia de Imagenes Medicas, Convencion Iberoamericana sobre la Salud en la Sociedad Global de la Informacion. |
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Buenos Aires, Argentina |
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ADAS |
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ISE @ ise @ VTV1996a |
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99 |
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Author |
Fernando Vilariño; Dimosthenis Karatzas; Alberto Valcarce |
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Title |
The Library Living Lab Barcelona: A participative approach to technology as an enabling factor for innovation in cultural spaces |
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2018 |
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Technology Innovation Management Review |
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DAG; MV; 600.097; 600.121; 600.129;SIAI |
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no |
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Admin @ si @ VKV2018a |
Serial |
3153 |
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Author |
Maria Vanrell; Jordi Vitria; Xavier Roca |
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Title |
A General Morphological Framework for Perceptual Texture Discrimination based on Granulometries. |
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Miscellaneous |
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1993 |
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Technical Workshop on Mathematical Morphology and its Applications to Signal Processing. |
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Barcelona |
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Notes |
OR;ISE;CIC;MV |
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no |
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BCNPCL @ bcnpcl @ VVR1993 |
Serial |
154 |
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Author |
Xavier Roca; X. Binefa; Jordi Vitria |
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Title |
Multiscale Structure Extraction using Morphological Tools. Applications to Edge Detection and to Depth Perception. |
Type |
Miscellaneous |
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Year |
1993 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Technical Workshop on Mathematical Morphology and its Applications to Signal Processing. |
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Barcelona |
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OR;ISE;MV |
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BCNPCL @ bcnpcl @ RBV1993 |
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247 |
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Author |
V. Valev; B. Sankur; Petia Radeva |
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Title |
Generalized Non-Reducible Descriptors. |
Type |
Miscellaneous |
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1997 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Technical Report. |
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MILAB |
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BCNPCL @ bcnpcl @ VSR1997 |
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65 |
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Author |
Silvia Sanchez |
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Title |
Estudio de viabilidad para la inspeccion de cinturones de seguridad en color |
Type |
Report |
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2000 |
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Technical Report #40 |
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Admin @ si @ San2000 |
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341 |
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Author |
Javier Varona; Juan J. Villanueva |
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Title |
Neural networks as spatial filters for image processing: Neurofilters |
Type |
Report |
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1996 |
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Technical Report #07 |
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ISE @ ise @ VaV1996 |
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95 |
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Author |
Jaume Garcia |
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Title |
Propagacio de fronts per a la segmentacio en imatges IVUS |
Type |
Report |
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2002 |
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Technical Report |
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65 |
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CVC (UAB) |
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IAM |
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no |
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Call Number |
IAM @ iam @ Gar2002 |
Serial |
328 |
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Author |
Ole Larsen; Petia Radeva; Enric Marti |
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Title |
Calculating the Bounds on the Optimal Parameters of Elasticity for a Snake |
Type |
Report |
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Year |
1994 |
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Technical Report |
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Aalborg University |
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Aalborg University, Laboratory of image Analysis. |
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Denmark |
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Aalborg University, Laboratory of image Analysis. |
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MILAB;IAM |
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no |
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IAM @ iam @ LRM1994 |
Serial |
1560 |
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Permanent link to this record |
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Author |
Jordi Vitria; J. Llacer |
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Title |
Recovering Depth from Focus Using Iterative image Estimation Techniques. |
Type |
Miscellaneous |
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Year |
1993 |
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Tech.Report BL–35158, Lawrence Berkeley Laboratory. |
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University of California; Berkeley; USA; |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ ViL1993 |
Serial |
142 |
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Author |
Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z. Li |
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Title |
Multi-modal Face Presentation Attach Detection |
Type |
Book Whole |
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Year |
2020 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Synthesis Lectures on Computer Vision |
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13 |
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HuPBA |
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no |
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Admin @ si @ WGE2020 |
Serial |
3440 |
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Author |
Michael Teutsch; Angel Sappa; Riad I. Hammoud |
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Title |
Computer Vision in the Infrared Spectrum: Challenges and Approaches |
Type |
Book Whole |
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Year |
2021 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Synthesis Lectures on Computer Vision |
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10 |
Issue |
2 |
Pages |
1-138 |
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Abstract |
Human visual perception is limited to the visual-optical spectrum. Machine vision is not. Cameras sensitive to the different infrared spectra can enhance the abilities of autonomous systems and visually perceive the environment in a holistic way. Relevant scene content can be made visible especially in situations, where sensors of other modalities face issues like a visual-optical camera that needs a source of illumination. As a consequence, not only human mistakes can be avoided by increasing the level of automation, but also machine-induced errors can be reduced that, for example, could make a self-driving car crash into a pedestrian under difficult illumination conditions. Furthermore, multi-spectral sensor systems with infrared imagery as one modality are a rich source of information and can provably increase the robustness of many autonomous systems. Applications that can benefit from utilizing infrared imagery range from robotics to automotive and from biometrics to surveillance. In this book, we provide a brief yet concise introduction to the current state-of-the-art of computer vision and machine learning in the infrared spectrum. Based on various popular computer vision tasks such as image enhancement, object detection, or object tracking, we first motivate each task starting from established literature in the visual-optical spectrum. Then, we discuss the differences between processing images and videos in the visual-optical spectrum and the various infrared spectra. An overview of the current literature is provided together with an outlook for each task. Furthermore, available and annotated public datasets and common evaluation methods and metrics are presented. In a separate chapter, popular applications that can greatly benefit from the use of infrared imagery as a data source are presented and discussed. Among them are automatic target recognition, video surveillance, or biometrics including face recognition. Finally, we conclude with recommendations for well-fitting sensor setups and data processing algorithms for certain computer vision tasks. We address this book to prospective researchers and engineers new to the field but also to anyone who wants to get introduced to the challenges and the approaches of computer vision using infrared images or videos. Readers will be able to start their work directly after reading the book supported by a highly comprehensive backlog of recent and relevant literature as well as related infrared datasets including existing evaluation frameworks. Together with consistently decreasing costs for infrared cameras, new fields of application appear and make computer vision in the infrared spectrum a great opportunity to face nowadays scientific and engineering challenges. |
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978-1636392431 |
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MSIAU |
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no |
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Admin @ si @ TSH2021 |
Serial |
3666 |
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Author |
Thanh Ha Do; Salvatore Tabbone; Oriol Ramos Terrades |
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Title |
Document noise removal using sparse representations over learned dictionary |
Type |
Conference Article |
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Year |
2013 |
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Symposium on Document engineering |
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161-168 |
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Abstract |
best paper award
In this paper, we propose an algorithm for denoising document images using sparse representations. Following a training set, this algorithm is able to learn the main document characteristics and also, the kind of noise included into the documents. In this perspective, we propose to model the noise energy based on the normalized cross-correlation between pairs of noisy and non-noisy documents. Experimental
results on several datasets demonstrate the robustness of our method compared with the state-of-the-art. |
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Barcelona; October 2013 |
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978-1-4503-1789-4 |
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ACM-DocEng |
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DAG; 600.061 |
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Call Number |
Admin @ si @ DTR2013a |
Serial |
2330 |
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