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ICPR
2010
IEEE
15 years 7 months ago
High-Level Feature Extraction Using SIFT GMMs and Audio Models
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, S...
TIP
2008
125views more  TIP 2008»
15 years 6 months ago
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
Junqiu Wang, Yasushi Yagi
CVPR
2008
IEEE
16 years 8 months ago
Increasing the density of Active Appearance Models
Active Appearance Models (AAMs) typically only use 50-100 mesh vertices because they are usually constructed from a set of training images with the vertices hand-labeled on them. ...
Krishnan Ramnath, Simon Baker, Iain Matthews, Deva...
ICDAR
2003
IEEE
16 years 2 days ago
Handwritten character recognition using elastic matching based on a class-dependent deformation model
For handwritten character recognition, a new elastic image matching (EM) technique based on a class-dependent deformation model is proposed. In the deformation model, any deformat...
Seiichi Uchida, Hiroaki Sakoe
SMI
2003
IEEE
142views Image Analysis» more  SMI 2003»
16 years 1 days ago
Approximate Congruence Detection of Model Features for Reverse Engineering
Reverse engineering allows the geometric reconstruction of simple mechanical parts. However, the resulting models suffer from inaccuracies caused by errors in measurement and reco...
C. H. Gao, Frank C. Langbein, A. David Marshall, R...
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