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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)
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)
This paper presents a new technique for combining multiple texture feature extraction method s in ord er to classify the pixels of an input image into a set of texture mod els of interest. The problem of integrating multiple texture method s for classification purposes is cast as a collaborativ e d ecision mak ing problem. E ach texture method is consid(More)
—Automatic recommender systems have become a cornerstone of e-commerce, especially after the great welcome of Web 2.0 based on participation and interaction of Internet users. Collaborative Filtering (CF) is a recommender system that is becoming increasingly relevant for the industry due to the growth of the Internet, which has made it much more difficult(More)