Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Virginia Espinosa-Duro"'
This paper proposes a novel algorithm for multi-focus thermal image fusion. The algorithm is based on local activity analysis and advanced pre-selection of images into fusion process. The algorithm improves the object temperature measurement error up
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83dc0c4b71ab8be8247451821e3023c5
http://arxiv.org/abs/2203.08513
http://arxiv.org/abs/2203.08513
In this paper we present a new database acquired with three different sensors (visible, near infrared and thermal) under different illumination conditions. This database consists of 41 people acquired in four different acquisition sessions, five imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd9bfedb6c32590bbcd61bd7a90fafe0
http://arxiv.org/abs/2202.13864
http://arxiv.org/abs/2202.13864
Publikováno v:
Scopus-Elsevier
This paper describes a novel face identification method that combines the eigenfaces theory with the Neural Nets. We use the eigenfaces methodology in order to reduce the dimensionality of the input image, and a neural net classifier that performs th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecee4b7511ac00eb65a32c9e54d418f4
Publikováno v:
Pattern Recognition Letters. 32:1548-1557
In this paper we present a new thermographic image database suitable for the analysis of automatic focus measures. This database consists of 8 different sets of scenes, where each scene contains one image for 96 different focus positions. Using this
Publikováno v:
Cognitive Computation. 2:135-141
In this paper, we propose a criterion for pairwise combination of information from different sensors in order to decide how a given pair of sensors is useful for different applications. This criterion is related to the principle of maximum informatio
Publikováno v:
Cognitive Computation. 3:374-381
Although audio-visual human systems have several well-known limitations, artificial sensors can measure information beyond our limits. What would happen if we were able to overcome our limitations? Would we be able to obtain a better knowledge of our
Publikováno v:
Pattern Recognition Letters. 28:854-858
In this paper we propose a low-complexity face verification system based on the Walsh-Hadamard transform. This system can be easily implemented on a fixed point processor and offers a good compromise between computational burden and verification rate
Publikováno v:
IEEE Aerospace and Electronic Systems Magazine. 20:23-26
Face recognition is one of the most successful ways for biometric recognition. One of its advantages is the high social acceptance by users, because it does not have the criminal stigma associated to other biometric traits, such as fingerprints. In a
Publikováno v:
ICCST
When focusing an image, depth of field, aperture and distance from the camera to the object, must be taking into account, both, in visible and in infrared spectrum. Our experiments reveal that in addition, the focusing problem in thermal spectrum is
Publikováno v:
44th Annual 2010 IEEE International Carnahan Conference on Security Technology.
Face segmentation is a first step for face biometric systems. In this paper we present a face segmentation algorithm for thermographic images. This algorithm is compared with the classic Viola and Jones algorithm used for visible images. Experimental