Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Javier A. Redolfi"'
Publikováno v:
IEEE Latin America Transactions. 19:994-1001
Due to the high rate of infection and the lack of a specific vaccine or medication for the new disease known as SARS-CoV2, the World Health Organization (WHO) has recommended the use of Personal Protective Equipment (PPE) as the main measure to avoid
Publikováno v:
2020 IEEE Congreso Bienal de Argentina (ARGENCON).
En la industria se realizan muchas tareas repetitivas, como por ejemplo en el empaquetado de productos. Si bien existen sistemas capaces de realizar esta tarea en forma automatica, en muchos casos el problema de la deteccion de los objetos a empaquet
Publikováno v:
2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS).
A PolSAR is an active sensing device capable of providing images that are robust against variations of weather and atmosphere conditions, irrespective of the time of the day they were acquired. For an efficient use of these images it is necessary to
Autor:
R. Gastón Araguás, Sergio Francisco Felissia, Javier A. Redolfi, Emanuel Bernardi, Ana Georgina Flesia
Publikováno v:
ICIT
A problem of current agriculture is the large amount of agrochemicals used to boost production due to their cost and the environmental pollution they cause. A partial solution to this problem consists in developing selective spraying techniques throu
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 14:2057-2061
In this letter, we study the application of the Fisher vector (FV) to the problem of pixelwise supervised classification of polarimetric synthetic aperture radar images. This is a challenging problem since information in those images is encoded as co
Publikováno v:
IEEE Latin America Transactions. 14:2713-2718
In recent years, the increase in amount of camera networks available has led to the rise up of new techniques and applications of signal processing. In this work, an implementation of image sensor network, cameras, for mobile target tracking is shown
Autor:
Julian Padilla, Diego Gonzalez Dondo, Leandro Yoaquino, Fernando Trasobares, Javier A. Redolfi
Publikováno v:
2015 XVI Workshop on Information Processing and Control (RPIC).
The use of multi-camera systems in target tracking applications demands to know positions and orientations of each one of the cameras in a global coordinate system. In this work is described the development and implementation of an extrinsic calibrat
Autor:
Javier A. Redolfi, Jorge Sanchez
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
We generalize the FV to mixtures of non-Gaussian pdf in a unified manner.We provide a complete derivation of the FV for arbitrary sets.We derive a block-diagonal normalizer which is general and simple to estimate.We run experiments using different co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::175d8437f876f5d1017fa099d4a648e8
http://www.sciencedirect.com/science/article/pii/S0167865515000811
http://www.sciencedirect.com/science/article/pii/S0167865515000811
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319257501
CIARP
CIARP
In this work we present an experimental evaluation of the exponential family Fisher vector (eFV) encoding applied to the problem of visual plant identification. We evaluate the performance of this model together with a variety of local image descript
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2ac4aadc3c370d48f9496ca449ca4e1
https://doi.org/10.1007/978-3-319-25751-8_36
https://doi.org/10.1007/978-3-319-25751-8_36
Autor:
Javier A. Redolfi, Jorge Sanchez
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642332746
CIARP
CIARP
We propose a novel approach for the combination of classifiers based on two commonly adopted strategies in multiclass classification: one-vs-all and one-vs-one. The method relies on establishing the relevance of nodes in a graph defined in the space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba962cdd7b55d33ee1f6ba6461fb6d5b
https://doi.org/10.1007/978-3-642-33275-3_97
https://doi.org/10.1007/978-3-642-33275-3_97