Abstract
ObjectivesThere is a growing interest in mindfulness-based programs. Yet, research in the area is limited, and little is known about the factors that moderate the effects of these programs. The two-fold aim of this study was (1) to examine the effects of a mindfulness-based program on dispositional mindfulness, inattention and emotional lability, handwriting fluency, spelling accuracy, and composing quality, as well as school achievement; and (2) to evaluate the moderating role of lesson absences, intervention-related knowledge, and social validity.MethodUsing a quasi-experimental design, 257 fourth graders were assigned to an experimental group receiving a mindfulness-based program (n = 130) or an active control group receiving a health-based program (n = 127). Both programs were implemented in the classroom for 8 weekly units, which included two 30-min sessions delivered by psychologists, followed by three 5-min sessions delivered by teachers. All children were evaluated before and after the programs.ResultsCompared to the control condition, the mindfulness-based program resulted in higher levels of internal and external awareness, and decentering and nonreactivity, as well as better composing quality and mathematics grades. Lesson absences, intervention-related knowledge, and social validity did not moderate the effects of the mindfulness-based program.ConclusionsThese findings support the integration of mindfulness practices in primary school as a means to improve children's academic-related skills and ability to be mindful.

Abstract
This paper presents a robust approach for 3D point reconstruction based on a set of images taken from a static scene with known. but not necessarily exact or regular, camera parameters. The points to be reconstructed are chosen from the contours of images, and a world-based formulation of the reconstruction problem and associated epipolar geometry is used. The result is a powerful mean of transparently integrating contributions from multiple images, and increased robustness to situations such as occlusions or apparent contours. Two steps for adding robustness are proposed: cross-checking, which validates a reconstructed point taken from an image by projecting it on a special subset of the remaining images; and merging, which fuses pairs of reconstructed points that are close in 3D space and that were initially chosen from different images. Results obtained with a synthetic scene (for ground truth comparison and error assessment), and two real scenes show the improved robustness achieved with the steps proposed.

Abstract
The urge to improve the life of older adults grows as this segment of society expands. Computers have an enormous potential to benefit the lives of older adults, however, the unawareness or disregard of their characteristics, renders technology, many times, impossible to use. Peripherals are a common obstacle when learning to operate computers, because the most common ones do not directly map the input in the user interface. It has been argued that touch- and gesture-based user interfaces, due to their direct mapping of input, can reduce the obstacles that older adults face, when using the computer. To assess this, this paper presents a project that uses a multi-touch tabletop system as a gaming platform for older adults. Specifically, it reports on the low-fidelity prototype that was built to test whether tangible objects can be used. Conclusions regarding the viability of tangible objects for that purpose are also drawn.

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