747 resultados para Modesto Carvalhosa
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[EN]An active vision system to perform tracking of moving objects in real time is described. The main goal is to obtain a system integrating off-the-self components. These components includes a stereoscopic robotic-head, as active perception hardware; a DSP based board SDB C80, as massive data processor and image acquisition board; and finally, a Pentium PC running Windows NT that interconnects and manages the whole system. Real-time is achieved taking advantage of the special architecture of DSP. An evaluation of the performance is included.
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[EN]Active Vision Systems can be considered as dynamical systems which close the loop around artificial visual perception, controlling camera parameters, motion and also controlling processing to simplify, accelerate and do more robust visual perception. Research and Development in Active Vision Systems [Aloi87], [Bajc88] is a main area of interest in Computer Vision, mainly by its potential application in different scenarios where real-time performance is needed such as robot navigation, surveillance, visual inspection, among many others. Several systems have been developed during last years using robotic-heads for this purpose...
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[EN]The work presented in this paper is related to Depth Recovery from Focus The approach starts calibrating focal length of the camera using the Gaussian lens law for the thin lens camera model Two approaches are presented based on the availability of the internal distance of the lens
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[ES]Vídeo tutorial en el que se resuelve un conjunto de preguntas enlazadas por medio de herramientas de búsqueda en internet
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O objetivo deste relatório, é descrever todo o percurso do estágio realizado no Hospital Batista de Sousa (HBS). Este trabalho é imprescindível, para obtenção do grau de licenciatura no curso de psicologia. Durante o período de estágio em psicologia clínica e da saúde (sete meses), procuramos, estudar e compreender a caraterização dos serviços, intervenções e atividades realizadas no referido hospital. Este trabalho baseia-se fundamentalmente, na recolha, perceção e compreensão de vários casos que deram entrada no HBS, durante o período de estágio, e que tiveram de uma certa forma, o nosso envolvimento em maior ou menor grau. Cada caso tem por referência as suas hipóteses diagnosticadas, associada com a respetiva fundamentação teórica. No nosso estudo, em particular, destacamos dois casos, que formam a espinha dorsal do nosso trabalho. Em relação as hipóteses diagnosticas, o primeiro caso fundamenta-se teoricamente, no transtorno de personalidade Narcísico. (TPN). Já o segundo, abarca o transtorno da Depressão. Na conclusão do trabalho, procuramos através de nossas reflexões próprias, apresentar novas ideias e deixar um modesto contributo, como forma de participar no processo de desenvolvimento desta área de conhecimento no HBS.
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[EN]The aim of this paper is the detection of non adults in images.
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The 2015 FRVT gender classification (GC) report evidences the problems that current approaches tackle in situations with large variations in pose, illumination, background and facial expression. The report suggests that both commercial and research solutions are hardly able to reach an accuracy over 90% for The Images of Groups dataset, a proven scenario exhibiting unrestricted or in the wild conditions. In this paper, we focus on this challenging dataset, stepping forward in GC performance by observing: 1) recent literature results combining multiple local descriptors, and 2) the psychophysics evidences of the greater importance of the ocular and mouth areas to solve this task...
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[EN]Can automatic vision systems for pedestrian detection be improved by training them on perceptually-defined ROIs?
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[EN]Capaware is a free software platform to develop 3D multilayer geographical applications. The project has been developed by the Technological Institute of the Canary Islands and the University of Las Palmas de Gran Canaria during the last years.
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[EN]Polygonal meshes are powerful structures to represent geometric information of the Earth’s surface. In particular, triangle meshes have been massively used as a reliable way to efficiently represent the land surface with real time responses in virtual navigation. In this work we present new ideas for the underlying treatment of a mesh that improve efficiency and quality in the navigation.
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[ES]Vídeo tutorial de introducción al uso de Matlab R2007a, dirigido a estudiantes de ingenierías
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[ES]Vídeo tutorial de introducción al manejo de Word dentro del paquete Office XP
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[ES]Vídeo tutorial de introducción al manejo de Powerpoint dentro del paquete Office XP
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[EN]In face recognition, where high-dimensional representation spaces are generally used, it is very important to take advantage of all the available information. In particular, many labelled facial images will be accumulated while the recognition system is functioning, and due to practical reasons some of them are often discarded. In this paper, we propose an algorithm for using this information. The algorithm has the fundamental characteristic of being incremental. On the other hand, the algorithm makes use of a combination of classification results for the images in the input sequence. Experiments with sequences obtained with a real person detection and tracking system allow us to analyze the performance of the algorithm, as well as its potential improvements.
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[EN]Enabling natural human-robot interaction using computer vision based applications requires fast and accurate hand detection. However, previous works in this field assume different constraints, like a limitation in the number of detected gestures, because hands are highly complex objects difficult to locate. This paper presents an approach which integrates temporal coherence cues and hand detection based on wrists using a cascade classifier. With this approach, we introduce three main contributions: (1) a transparent initialization mechanism without user participation for segmenting hands independently of their gesture, (2) a larger number of detected gestures as well as a faster training phase than previous cascade classifier based methods and (3) near real-time performance for hand pose detection in video streams.