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» Image Distance Using Hidden Markov Models
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GW
2005
Springer
136views Biometrics» more  GW 2005»
13 years 10 months ago
Gesture Recognition Using Image Comparison Methods
Abstract. We introduce the use of appearance-based features, and tangent distance or the image distortion model to account for image variability within the hidden Markov model emis...
Philippe Dreuw, Daniel Keysers, Thomas Deselaers, ...
ICIP
1998
IEEE
13 years 8 months ago
Face Detection and Recognition using Hidden Markov Models
Ara V. Nefian, Monson H. Hayes III
ICIP
2002
IEEE
14 years 6 months ago
Modeling object classes in aerial images using hidden Markov models
A canonical model is proposed for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections ...
Shawn Newsam, Sitaram Bhagavathy, B. S. Manjunath
ICIP
2004
IEEE
14 years 6 months ago
Stochastic modeling of volume images with a 3-d hidden markov model
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
Jia Li, Dhiraj Joshi, James Ze Wang
ICIP
2003
IEEE
14 years 6 months ago
Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
X. Song, G. Fan