Contact Info Hamerschlag Hall B200 M7
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I am a Ph. D. candidate in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU) working under Prof. Vijaya Kumar in the area of biometrics. My expected graduation date will be soon in 2008. I obtained the M.S.
degree in Electronic Systems ('02) and the B.S. degree in Electronics
and
Communications Engineering ('98), both from the Tec de Monterrey
(ITESM), Monterrey Campus, Mexico. Most of my work at CMU has been in the area of biometric
recognition, such as fingerprint, face, iris, and palmprint recognition
(most of my publications are on palmprint and face). Biometrics is a
pattern recognition (or pattern classification) problem that involves
image processing, analysis and modeling, as well as design of robust
classification algorithms using machine learning techniques. In
our work we focus on improving the reliability and performance of each
biometric technology under different environments. My current research is on super-resolution methods for recognition
of low resolution faces. Super-resolution is about inferring the
missing pixels lost when a high-resolution image is transformed to a
low-resolution one. Super-resolution in our case involves learning
features from large databases of high-resolution face images. Recent work includes wavelet analysis of biometric imagery to find
subspaces where classification performance is best for a specific
classification algorithm. In our case we design wavelet packet trees
that benefit advanced correlation filter classifiers. I also worked in
palmprint recognition; we showed that a filter bank of advanced
correlation filters is a very competitive classifier for this biometric. I have also worked with fMRI pattern recognition, and protein
identification in fluorescent microscopy images (proteomics). Advisor:
Collaborators:
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