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» A Statistical Shape Model without Using Landmarks
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ICPR
2006
IEEE
14 years 10 months ago
Active Feature Models
In this paper active feature models are proposed. They utilize local texture features and a statistical shape model for the reliable localization of landmarks in images. They are ...
Georg Langs, Philipp Peloschek, Rene Donner, Micha...
BMCBI
2010
140views more  BMCBI 2010»
13 years 9 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
CAIP
1995
Springer
137views Image Analysis» more  CAIP 1995»
14 years 13 days ago
Extending the Point Distribution Model Using Polar Coordinates
The Point Distribution Model (PDM) has already proved useful for many tasks involving the location or tracking of deformable objects. A principal limitation lies in the fact that n...
Tony Heap, David Hogg
IEICET
2006
100views more  IEICET 2006»
13 years 8 months ago
Generating F0 Contours by Statistical Manipulation of Natural F0 Shapes
This paper proposes a method of generating F0 contours from natural F0 segmental shapes for speech synthesis. The extracted shapes of F0 units are basically kept unchanged, by eli...
Takashi Saito
CVPR
2003
IEEE
14 years 11 months ago
Face Alignment Using Statistical Models and Wavelet Features
Active Shape Model (ASM) is a powerful statistical tool for face alignment by shape. However, it can suffer from changes in illumination and facial expression changes, and local m...
Feng Jiao, Stan Z. Li, Heung-Yeung Shum, Dale Schu...