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» Learning 3D Appearance Models from Video
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NIPS
2001
13 years 10 months ago
The Infinite Hidden Markov Model
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integ...
Matthew J. Beal, Zoubin Ghahramani, Carl Edward Ra...
ICPR
2010
IEEE
13 years 9 months ago
Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis
Automatic analysis of head gestures and facial expressions is a challenging research area and it has significant applications in humancomputer interfaces. In this study, facial la...
Hatice Çinar Akakin, Bülent Sankur
ICIP
2010
IEEE
13 years 6 months ago
Affine-invariant modeling of shape-appearance images applied on sign language handshape classification
We propose a novel affine-invariant modeling of hand shapeappearance images, which offers a compact and descriptive representation of the hand configurations. Our approach combine...
Anastasios Roussos, Stavros Theodorakis, Vassilis ...
CVPR
2011
IEEE
13 years 6 months ago
Learning Better Image Representations Using 'Flobject Analysis'
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
Inmar Givoni, Patrick Li, Brendan Frey
CVPR
2010
IEEE
1090views Computer Vision» more  CVPR 2010»
14 years 4 months ago
AAM based Face Tracking with Temporal Matching and Face Segmentation
Active Appearance Model (AAM) based face tracking has advantages of accurate alignment, high efficiency, and effectiveness for handling face deformation. However, AAM suffers fro...
Lin Liang