Affiliation:† ISR†† IST
Publications and patents
Projects and students
Pedro M. Q. Aguiar
The ultimate goal of my research is to
make computers extract high level
content from images by seeking their simplest interpretation. This
lead me to the areas of image processing, computer vision, machine learning,
pattern recognition. Other (older) research interests include statistical signal
processing, stochastic processes, nonlinear systems, automatic control.
Shape representation via elementary symmetric
polynomials: a complete invariant inspired by the bispectrum
R. Negrinho and P. Aguiar, IEEE Int. Conf. on Image Processing, 2013.
Revisiting complex moments for 2D
shape representation and image normalization
J. Crespo and P. Aguiar, IEEE Trans. on Image Processing, 20(10), Oct. 2011.
Globally optimal solution to exploit
rigidity when recovering structure from motion under occlusion
P. Aguiar, J. Xavier, and
M. Stosic, IEEE Int. Conf. on Image Processing, 2008. DoCoMo USA
Labs Innovative Paper Award
Orientation in Manhattan: equiprojective
classes and sequential estimation
A. Martins, P. Aguiar, and M. Figueiredo, IEEE Trans. on Pattern Analysis and
Machine Intelligence, 27(5), May 2005.††
Acoustic modems for ubiquitous
C. Lopes and P. Aguiar, IEEE Pervasive Computing,
2(3), July-Sep. 2003.
Rank 1 weighted factorization for 3D
P. Aguiar and J. Moura, IEEE Trans. on Pattern
Analysis and Machine Intelligence, 25(9), Sep. 2003.
"invention is, in fact, a cautious dipping into the negation that
lies outside system
from a position firmly ensconced in system"
Glenn Gould, royal conservatory of music, Toronto,