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Wyszukujesz frazę "Pujol, J." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Spectrally tunable light source based on light-emitting diodes for custom lighting solutions
Autorzy:
Burgos-Fernandez, F. J.
Vilaseca, M.
Perales, E.
Herrera-Ramirez, J. A.
Martinez-Verdu, F. M.
Pujol, J.
Powiązania:
https://bibliotekanauki.pl/articles/173803.pdf
Data publikacji:
2016
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
solid state lighting
light-emitting diodes
CIE standard illuminants
minimization algorithm
customized lighting design
radiometry
Opis:
This study describes a novel spectral LED-based tunable light source used for customized lighting solutions, especially for the reconstruction of CIE (Commission Internationale de l'Eclairage) standard illuminants. The light source comprises 31 spectral bands ranging from 400 to 700 nm, an integrating cube and a control board with a 16-bit resolution. A minimization algorithm to calculate the weighting values for each channel was applied to reproduce illuminants with precision. The differences in spectral fitting and colorimetric parameters showed that the reconstructed spectra were comparable to the standard, especially for the D65, D50, A and E illuminants. Accurate results were also obtained for illuminants with narrow peaks such as fluorescents (F2 and F11) and a high-pressure sodium lamp (HP1). In conclusion, the developed spectral LED-based light source and the minimization algorithm are able to reproduce any CIE standard illuminants with a high spectral and colorimetric accuracy able to advance available custom lighting systems useful in the industry and other fields such as museum lighting.
Źródło:
Optica Applicata; 2016, 46, 1; 117-129
0078-5466
1899-7015
Pojawia się w:
Optica Applicata
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A connectionist computational method for face recognition
Autorzy:
Pujol, F. A.
Mora, H.
Girona-Selva, J. A.
Powiązania:
https://bibliotekanauki.pl/articles/330558.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
pattern recognition
face recognition
neural network
self organizing map
rozpoznawanie wzorca
rozpoznawanie twarzy
sieć neuronowa
samodzielne organizowanie map
Opis:
In this work, a modified version of the elastic bunch graph matching (EBGM) algorithm for face recognition is introduced. First, faces are detected by using a fuzzy skin detector based on the RGB color space. Then, the fiducial points for the facial graph are extracted automatically by adjusting a grid of points to the result of an edge detector. After that, the position of the nodes, their relation with their neighbors and their Gabor jets are calculated in order to obtain the feature vector defining each face. A self-organizing map (SOM) framework is shown afterwards. Thus, the calculation of the winning neuron and the recognition process are performed by using a similarity function that takes into account both the geometric and texture information of the facial graph. The set of experiments carried out for our SOM-EBGM method shows the accuracy of our proposal when compared with other state-of the-art methods.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2016, 26, 2; 451-465
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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