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» Manifold Discriminant Analysis
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ICIP
2007
IEEE
14 years 10 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
IPMI
2007
Springer
14 years 9 months ago
Population-Based Fitting of Medial Shape Models with Correspondence Optimization
A crucial problem in statistical shape analysis is establishing the correspondence of shape features across a population. While many solutions are easy to express using boundary re...
Timothy B. Terriberry, James N. Damon, Stephen M. ...
COMPGEOM
2008
ACM
13 years 10 months ago
Tighter bounds for random projections of manifolds
The Johnson-Lindenstrauss random projection lemma gives a simple way to reduce the dimensionality of a set of points while approximately preserving their pairwise distances. The m...
Kenneth L. Clarkson
ICIP
2008
IEEE
14 years 3 months ago
Effects of curvature on the analysis of landmark shape manifolds
Shape spaces can be endowed with the structure of Riemannian manifolds; this allows one to compute, for example, Euler-Lagrange equations and geodesic distance for such spaces. Un...
Mario Micheli
ICPR
2008
IEEE
14 years 9 months ago
An empirical comparison of graph-based dimensionality reduction algorithms on facial expression recognition tasks
Facial expression recognition is a topic of interest both in industry and academia. Recent approaches to facial expression recognition are based on mapping expressions to low dime...
José Miguel Buenaposada, Li He, Luis Baumel...