629 search results - page 1 / 126 » Large Scale Learning of Active Shape Models |
ICIP
2007
IEEE
15 years 25 days ago
2007
IEEE
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...
CVPR
2011
IEEE
13 years 7 months ago
2011
IEEE
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
FGR
2008
IEEE
14 years 5 months ago
2008
IEEE
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
PAMI
2010
13 years 9 months ago
2010
—The goal of this work is to develop statistical models for the shape change of a configuration of “landmark” points (key points of interest) over time and to use these mode...
ICML
2009
IEEE
14 years 12 months ago
2009
IEEE
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...