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Professor at IST; researcher at ISR.
Interesses científicos
- The ultimate goal of my research is to make computers extract high level information from an image sequence by seeking its simplest interpretation. I'm mainly interested in statistical and information-theoretic models, as well as in efficient algorithms to perform inference with respect to those models. Application areas are in virtual reality --- automatic generation of unseen panoramic views and complete 3D models --- and digital video --- content-based representations suitable for compression, addressing, and non-linear editing
- Besides computer vision and image analysis, my other research interests include statistical signal processing, stochastic processes, machine learning, pattern recognition, nonlinear systems, automatic control
Área de Especialização (FOS)
Engenharia Eletrotécnica, Eletrónica e Informática
Perfis externos
Produção científica
Biografia
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Biografia completa
Pedro M. Q. Aguiar is an Associate Professor at IST and a researcher at ISR-Lisboa. He received his Ph.D. from IST in 2000 and was also a visiting scholar at Carnegie Mellon University. His main research interests are in the areas of image processing, computer vision, machine learning, and pattern recognition, aiming to make computers extract high level content from images by seeking their simplest interpretation.