Lista de Projetos
Esta é a lista de projetos disponíveis no sistema. Para saber mais detalhes sobre um projeto clique no seu nome ou imagem. Também pode procurar por um determinado projeto na caixa de pesquisa em baixo.
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Auto-avaliação do projeto TEIP do Agrupamento de Escolas de Vialonga
Informação do Projeto
2011-07-01
2014-06-01
Parceiros do Projeto
- CIES-Iscte - Líder
Enquadrar os direitos dos pobres - cooperação entre atores da sociedade civil em Portugal e no Brasil
Informação do Projeto
2011-07-01
2015-02-28
Parceiros do Projeto
- CIES-Iscte - Líder
The main objective of this project is to design a biometric identification system to be used in uncontrolled data acquisition scenarios. In order to do this, and thus enjoy all the advantages of this type of systems mentioned above, there are four main challenges that have to be solved. These challenges can be summarized as:- Acquisition of data with enough discriminating information - This is a fundamental phase in devising any biometric application. The data acquisition setup (operating wavelength, type of illuminant, levels of luminance, number and position of illumination sources) and the protocol demanded to subjects play a crucial role in the quality of the acquired data and determine the success of the biometric recognition task. Thus, a convenient data acquisition framework should be devised in the earliest stages of the project.- Accurate biometric data segmentation - As mentioned above, traditional biometric applications, such as computer access and border control, require the user to submit a biometric in a highly controlled manner. In this kind of constrained biometric capture, users take deliberate actions to cooperate with the biometric systems, such as facing forward and standing still. This makes it easier for the system to extract the biometric information from the raw image/video data, by performing a simple segmentation. However, when the acquisition scenario is relatively uncontrolled, the acquisition system will have to be able to perform a much more sophisticated segmentation to extract the desired biometric information from the raw image/video and guarantee that it is not confused with noise, which can be quite high.- Correction of pose and illumination variations - After being able to extract the biometric data (i.e., determine its exact location) from the raw image/video data, the system has to deal with the problem of pose and illumination variations due to unconstrained biometric capture. After all, when the capture is done in an uncontrol...
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