1380 search results - page 145 / 276 » Learning Hierarchical Shape Models from Examples |
ICA
2004
Springer
14 years 3 months ago
2004
Springer
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Given an image, we propose a hierarchical generative
model that classifies the overall scene, recognizes and segments
each object component, as well as annotates the image
with ...
HUMO
2007
Springer
14 years 4 months ago
2007
Springer
This work presents a marker-less motion capture system that incorporates an approach to smoothly adapt a generic model mesh to the individual shape of a tracked person. This is don...
NIPS
1992
13 years 11 months ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
CVPR
2008
IEEE
15 years 12 days ago
2008
IEEE
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...