Pedro M. Q. Aguiar
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.
Distributed basis pursuit
IEEE SPS Young Author Best Paper Award
J. Mota, J. Xavier,
P. Aguiar, and M. Püschel, IEEE Trans. on Signal Processing, 60(4), 2012.
Revisiting complex moments for 2D
shape representation and image normalization
J. Crespo and P. Aguiar, IEEE Trans. on Image Processing, 20(10), 2011.
optimal solution to exploit rigidity when recovering structure from motion
P. Aguiar, J. Xavier, and M. Stosic, IEEE Int. Conf. on Image
Processing, 2008. DoCoMo USA Labs Innovative
Manhattan: equiprojective classes and sequential estimation (movies)
A. Martins, P. Aguiar, and M. Figueiredo, IEEE Trans. on Pattern Analysis and
Machine Intelligence, 27(5), 2005.
Rank 1 weighted
factorization for 3D structure recovery
P. Aguiar and J.
Moura, IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(9), 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, 1964.