629 search results - page 58 / 126 » Large Scale Learning of Active Shape Models |
134
Voted
ICMCS
2006
IEEE
15 years 8 months ago
2006
IEEE
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. These semantic concepts do not exist in isolatio...
139
Voted
CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
138
Voted
IFIP12
2008
15 years 4 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
106
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CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
This paper studies image alignment, the problem of learning a shape and appearance model from labeled data and efficiently fitting the model to a non-rigid object with large varia...
128
Voted
IVC
2006
15 years 2 months ago
2006
The distribution of the apparent 3D shape of human faces across the view-sphere is complex, owing to factors such as variations in identity, facial expression, minor occlusions an...