831 resultados para Vision, Monocular.


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Vision-based hand gesture recognition is an area of active current research in computer vision and machine learning. Being a natural way of human interaction, it is an area where many researchers are working on, with the goal of making human computer interaction (HCI) easier and natural, without the need for any extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them, for example, to convey information. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. Hand gestures are a powerful human communication modality with lots of potential applications and in this context we have sign language recognition, the communication method of deaf people. Sign lan- guages are not standard and universal and the grammars differ from country to coun- try. In this paper, a real-time system able to interpret the Portuguese Sign Language is presented and described. Experiments showed that the system was able to reliably recognize the vowels in real-time, with an accuracy of 99.4% with one dataset of fea- tures and an accuracy of 99.6% with a second dataset of features. Although the im- plemented solution was only trained to recognize the vowels, it is easily extended to recognize the rest of the alphabet, being a solid foundation for the development of any vision-based sign language recognition user interface system.

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Building sector has become an important target for carbon emissions reduction, energy consumption and resources depletion. Due to low rates of replacement of the existing buildings, their low energy performances are a major concern. Most of the current regulations are focused on new buildings and do not account with the several technical, functional and economic constraints that have to be faced in the renovation of existing buildings. Thus, a new methodology is proposed to be used in the decision making process for energy related building renovation, allowing finding a cost-effective balance between energy consumption, carbon emissions and overall added value.

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Tese de Doutoramento em Engenharia de Eletrónica e de Computadores

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Magdeburg, Univ., Fak. für Naturwiss., Diss., 2012

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Data Mining, Vision Restoration, Treatment outcome prediction, Self-Organising-Map

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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2013

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In cognition, common factors play a crucial role. For example, different types of intelligence are highly correlated, pointing to a common factor, which is often called g. One might expect that a similar common factor would also exist for vision. Surprisingly, no one in the field has addressed this issue. Here, we provide the first evidence that there is no common factor for vision. We tested 40 healthy students' performance in six basic visual paradigms: visual acuity, vernier discrimination, two visual backward masking paradigms, Gabor detection, and bisection discrimination. One might expect that performance levels on these tasks would be highly correlated because some individuals generally have better vision than others due to superior optics, better retinal or cortical processing, or enriched visual experience. However, only four out of 15 correlations were significant, two of which were nontrivial. These results cannot be explained by high intraobserver variability or ceiling effects because test-retest reliability was high and the variance in our student population is commensurate with that from other studies with well-sighted populations. Using a variety of tests (e.g., principal components analysis, Bayes theorem, test-retest reliability), we show the robustness of our null results. We suggest that neuroplasticity operates during everyday experience to generate marked individual differences. Our results apply only to the normally sighted population (i.e., restricted range sampling). For the entire population, including those with degenerate vision, we expect different results.

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Was ist Arbeit? Ein notwendiges Übel, eine den Menschen erst zum Menschen machende Notwendigkeit, ein Mittel sich selbst zu verwirklichen, eine notwendige Struktur, die den Menschen gesund hält, ja sogar therapiert oder bloss eine unter vielen Möglichkeiten, mit dem Leben etwas anzufangen? Arbeit wurde schon immer mehrdeutig gefasst. Zwölf Autoren aus dem französischen und deutschen Kulturkreis diskutieren, was Arbeit ist und war. Die Beiträge aus Philosophie, Recht, Sozialwissenschaften, aber auch Kunstwissenschaften kreisen um vier wesentliche Spannungen des Begriffs Arbeit: die Arbeit der Frau, die Sichtbarkeit oder Sichtbarmachung der Arbeit, das Verhältnis von Arbeit zu anderen menschlichen Tätigkeiten, der Sinn und das Erleben der Arbeit mit dem allgegenwärtigen Stress, mit dem die heutige Arbeit verknüpft wird. Qu'est-ce que le travail? Un mal nécessaire, une nécessité pour faire des hommes des êtres humains, un moyen de se réaliser, une structure nécessaire qui maintient les êtres humains en santé, voire même les soigne, ou simplement une possibilité parmi d'autres de faire quelque chose de sa vie? Le terme de travail comprend un large éventail de significations. Douze auteurs de culture française et allemande discutent de ce qu'est le travail et de ce qu'il était. Les contributions issues de la philosophie, du droit, des sciences sociales, mais aussi des arts s'articulent autour de quatre dimensions essentielles du concept de travail: le travail des femmes, la visibilité ou la mise en évidence du travail, le lien entre le travail et les autres activités humaines, la recherche de sens et le vécu du travail avec le stress quotidien qui est aujourd'hui étroitement lié au travail.

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The Institute of Public Health in Ireland aims to promote cooperation for public health between Northern Ireland and Ireland, to tackle inequalities in health and influence public polices in favour of health. In its work, the Institute emphasises a holistic model of health which recognises the interplay of a wide range of health determinants, including economic, social and environmental factors as well as health and social services.