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ICIP
2002
IEEE
15 years 15 days ago
Automatic landmarking for building biological shape models
In this article we present a new method for automatic landmark extraction from the contours of biological specimens. Our ultimate goal is to enable automatic identification of bio...
Yulia Hicks, A. David Marshall, Ralph R. Martin, P...
IVC
2010
143views more  IVC 2010»
13 years 9 months ago
Video-based face model fitting using Adaptive Active Appearance Model
Active Appearance Model (AAM) represents the shape and appearance of an object via two low-dimensional subspaces, one for shape and one for appearance. AAM for facial images is cu...
Xiaoming Liu
ICALT
2005
IEEE
14 years 4 months ago
LM-DTM: An Environment for XML-Based, LIP/PAPI-Compliant Deployment, Transformation and Matching of Learner Models
Our shared belief is that learning, like other human activities, cannot and will not be confined within rigidly defined course systems or learning repositories, inclosing learning...
Mohamed Amine Chatti, Ralf Klamma, Christoph Quix,...
AVSS
2008
IEEE
14 years 5 months ago
Recognizing Shapes in Video Sequences Using Multi-class Boosting
We model the spatio-temporal variations of the shape of objects in a video sequence using a unique SVD-like decomposition. The decomposition is used to compute shape features, whi...
Naresh P. Cuntoor, Matt Welborn
FGR
2011
IEEE
271views Biometrics» more  FGR 2011»
13 years 2 months ago
Active conditional models
— Matching images with large geometric and iconic changes (e.g. faces under different poses and facial expressions) is an open research problem in computer vision. There are two ...
Ying Chen, Fernando De la Torre