Abstract
The process of 3D reconstruction, or depth estimation, is a complex one, and many methods often have several parameters that may require fine tunning to adapt to the scene and improve reconstruction results. Usability of these methods is directly related to their response time. Epipolar geometry, a fundamental tool used in 3D reconstruction, is commonly computed on the CPU. We propose to take advantage of the advances of graphic cards, to accelerate this process. Projective texturing will be used to transfer a significant part of the computational load from the CPU into the GPU. The new approach will be illustrated in the context of a previously published work for 3D point reconstruction from a set of static images. Test results show that gains of up to two orders of magnitude in terms of computation times can be achieved, when comparing current CPU's and CPU's. We conclude that this leads to an increase in usability of 3D reconstruction methods. Copyright © 2004 by the Association for Computing Machinery, Inc.

Abstract
We present a novel approach for 3D reconstruction based on a set of images taken from a static scene. Our solution is inspired by the spatiotemporal analysis of video sequences. The method is based on a best fitting scheme for spatiotemporal curves that allows us to compute 3D world coordinates of points within the scene. As opposed to a large number of current methods, our technique deals with random camera movements in a transparent way, and even performs better in these cases than with restrained motion such as pure translation. Robustness against occlusion and aliasing is inherent to the method as well.

Abstract

Abstract
Intelligence is increasingly emerging in our ambients. Evidences of this emergence are the existence of smart homes, smart vehicles, intelligent manufacturing systems and most importantly, the appearance of the concept of intelligent cities. Humans are presently surrounded by technology that is intended to increase their quality of life and simplify their daily activities. Multi-Agent Systems are an example of technology that can be used in these activities. The concept of ubiquitous computing is implicit in these technologies and can generate an invisible ambient of interactivity. This paper presents a survey and a comparative analysis of some of the research projects concerning Ambient Intelligence (AmI). The main objective of this work was to understand the current necessities, devices and the main results in the development of these projects. By analysing these projects using several evaluation criteria one of the main conclusions is that most projects do not explore the potential of human profiles in the context of ambient adaptation. Thus, this may be a very intersting research area for future work.

Abstract
Locating components which are responsible for observed failures is the most expensive, error-prone phase in the software development life cycle. We present an Eclipse Plug-in that aims to fill some of the automatic debugging tools gaps: the lack of a visualization tool that provides intuitive feedback about the defect distribution over the code base, and easy access to the faulty locations. Copyright 2011 ACM.

Abstract
The use of traditional input devices such as keyboards and mice can become a huge obstacle for older adults in interacting with computer systems. Using Natural User Interfaces (NUI's), more specifically using gestures or movements on a multi-touch device, can be a good alternative to overcome these dificulties. This paper analyses the state of the art and identifies a set of criteria relevant to classify the projects in this area. The resulting classification enables us to recognize research opportunities on Natural User Interfaces, and namely multi-touch interfaces for elderly.