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SSPR
2004
Springer
16 years 2 days ago
Learning of Form Models from Exemplars
Model-based image recognition requires a general model of the object that should be detected in an image. In many applications such models are not known a-priori instead of they mu...
Petra Perner, Silke Jänichen
193
Voted
ICPR
2002
IEEE
15 years 11 months ago
Recognition of Lung Nodules from X-ray CT Images Using 3D Markov Random Field Models
In this paper, we propose a new recognition method of lung nodules from X-ray CT images using 3D Markov random field(MRF) models. Pathological shadow candidates are detected by a...
Hotaka Takizawa, Shinji Yamamoto, Tohru Matsumoto,...
DAGM
2008
Springer
15 years 8 months ago
Learning Visual Compound Models from Parallel Image-Text Datasets
Abstract. In this paper, we propose a new approach to learn structured visual compound models from shape-based feature descriptions. We use captioned text in order to drive the pro...
Jan Moringen, Sven Wachsmuth, Sven J. Dickinson, S...
NIPS
2007
15 years 8 months ago
A probabilistic model for generating realistic lip movements from speech
The present work aims to model the correspondence between facial motion and speech. The face and sound are modelled separately, with phonemes being the link between both. We propo...
Gwenn Englebienne, Tim Cootes, Magnus Rattray
GW
2009
Springer
226views Biometrics» more  GW 2009»
15 years 4 months ago
Statistical Gesture Models for 3D Motion Capture from a Library of Gestures with Variants
A challenge for 3D motion capture by monocular vision is 3D-2D projection ambiguities that may bring incorrect poses during tracking. In this paper, we propose improving 3D motion ...
Zhenbo Li, Patrick Horain, André-Marie Pez,...