Zobrazeno 1 - 10
of 42
pro vyhledávání: '"F. J. Madrid-Cuevas"'
Publikováno v:
Pattern Recognition Letters. 135:153-159
Emerging technologies have led to the creation of huge databases that require reducing their high dimensionality to be analysed. Many suboptimal methods have been proposed for this purpose. On the other hand, few efficient optimal methods have been p
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Human head pose estimation in images has applications in many fields such as human-computer interaction or video surveillance tasks. In this work, we address this problem, defined here as the estimation of both vertical (tilt/pitch) and horizontal (p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43f66f06a5fd58ae93c1c7b9f42747b8
Publikováno v:
Pattern Recognition. 115:107917
Piecewise Linear Approximation is one of the most commonly used strategies to represent time series effectively and approximately. This approximation divides the time series into non-overlapping segments and approximates each segment with a straight
Autor:
N. L. Fernández-García, Rafael Muñoz-Salinas, F. J. Madrid-Cuevas, A. Carmona-Poyato, Rafael Medina-Carnicer, Eusebio J. Aguilera-Aguilera
Publikováno v:
Journal of Visual Communication and Image Representation. 39:152-163
Approximations with the best balance between fidelity and efficiency are automatically obtained.The method has no parameter to be set.The method has an moderate algorithmic complexity (among O ( N log N ) and O(N2)). The contour of a shape is a power
Publikováno v:
Journal of Visual Communication and Image Representation. 39:120-131
A self-recalibration method for multi-view structured light systems is proposed.The method allows simultaneous reconstruction and calibration.It is not restricted to special equipment, number of devices or specific arrangements.The proposal achieves
Autor:
Rafael Muñoz-Salinas, F. J. Madrid-Cuevas, A. Carmona-Poyato, Manuel J. Marín-Jiménez, Rafael Medina-Carnicer, D. López-Fernández
Publikováno v:
Image and Vision Computing. :1-13
Many studies have confirmed gait as a robust biometric feature for identification of individuals. However, direction changes cause difficulties for most of the gait recognition systems, due to appearance changes. This study presents an efficient mult
Publikováno v:
Pattern Recognition. 51:481-491
Square-based fiducial markers are one of the most popular approaches for camera pose estimation due to its fast detection and robustness. In order to maximize their error correction capabilities, it is required to use an inner binary codification wit
Publikováno v:
Graphical Models. 84:15-27
A novel method to solve the min-# polygonal approximation problem is proposed.The approach uses a modified Mixed Integer Programming model to solve the min-# problem.The proposed model is smaller than previous proposals.The novel procedure obtains th
Autor:
Manuel J. Marín-Jiménez, E.J. Aguilera-Aguilera, N. L. Fernández-García, A. Carmona-Poyato, F. J. Madrid-Cuevas
Publikováno v:
Neural Computing and Applications. 28:2383-2394
A new method for obtaining optimal polygonal approximations in closed curves is proposed. The new method uses the suboptimal method proposed by Pikaz and an improved version of the optimal method proposed by Salotti. Firstly, the Pikaz’s method obt