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139
Voted
ICIP
2007
IEEE
16 years 5 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
140
Voted
ICIP
2006
IEEE
16 years 5 months ago
Invariant Geometric Representation of 3D Point Clouds for Registration and Matching
Though implicit representations of surfaces have often been used for various computer graphics tasks like modeling and morphing of objects, it has rarely been used for registratio...
Soma Biswas, Gaurav Aggarwal, Rama Chellappa
107
Voted
ICIP
2005
IEEE
16 years 5 months ago
Sampling in practice: is the best reconstruction space bandlimited?
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant " space, ...
Sathish Ramani, Dimitri Van De Ville, Michael Unse...
130
Voted
ICIP
2002
IEEE
16 years 5 months ago
A kernel machine based approach for multi-view face recognition
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition applications. It is well kno...
Juwei Lu, Kostas N. Plataniotis, Anastasios N. Ven...
122
Voted
ICPR
2006
IEEE
16 years 4 months ago
Subpixel Alignment of MRI Data Under Cartesian and Log-Polar Sampling
Magnetic resonance imaging (MRI) allows numerous Fourier domain sampling schemes such as Cartesian and non-Cartesian trajectories (e.g. Polar, circular, and spherical). On the oth...
Hassan Foroosh, Mais Alnasser, Murat Balci