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Shape-from-focus (SFF) has widely been studied in computer vision as a passive depth recovery and 3D reconstruction method. One of the main stages in SFF is the computation of the focus level for every pixel of an image by means of a focus measure operator. In this work, a methodology to compare the performance of different focus measure operators for(More)
The limited depth-of-field of some cameras prevents them from capturing perfectly focused images when the imaged scene covers a large distance range. In order to compensate for this problem, image fusion has been exploited for combining images captured with different camera settings, thus yielding a higher quality all-in-focus image. Since most current(More)
This article presents two novel full quadrant approximations for the arctangent function that are specially suitable for real-time applications. The key point of the proposed approximations is that they are valid in a full quadrant. As a result, they can be easily extended to two and four quadrants. The approximations we define are rational functions of(More)
Classifying traffic signs is an indispensable part of Advanced Driver Assistant Systems. This strictly requires that the traffic sign classification model accurately classifies the images and consumes as few CPU cycles as possible to immediately release the CPU for other tasks. In this paper, we first propose a new ConvNet architecture. Then, we propose a(More)
The consideration of security and privacy is a linchpin of the social acceptance of pervasive technology. This paper paves the way to the development of trustworthy pervasive video surveillance systems, by emphasizing the need to properly combine different aspects that current systems do not manage. In particular, in this paper we propose the combination of(More)