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84
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ICPR
2004
IEEE
15 years 11 months ago
Speech Driven Facial Animation using a Hidden Markov Coarticulation Model
We present a hierarchical image based facial model which is driven from speech. It incorporates a novel modelling and synthesis algorithm for learning and producing coarticulated ...
Darren Cosker, A. David Marshall, Paul L. Rosin, Y...
76
Voted
BMVC
2002
15 years 19 days ago
Modelling Facial Behaviours
We consider the problem of learning how a person's face behaves in a long video sequence, with the aim of synthesising convincing sequences demonstrating the same behaviours....
Franck Bettinger, Timothy F. Cootes, Christopher J...
DAGSTUHL
2006
14 years 11 months ago
How fast does the stationary distribution of the Markov chain modelling EAs concentrate on the homogeneous populations for small
One of the main difficulties faced when analyzing Markov chains modelling evolutionary algorithms is that their cardinality grows quite fast. A reasonable way to deal with this iss...
Boris Mitavskiy, Jonathan E. Rowe
98
Voted
IJCV
2007
159views more  IJCV 2007»
14 years 10 months ago
Face Hallucination: Theory and Practice
In this paper, we study face hallucination, or synthesizing a high-resolution face image from an input low-resolution image, with the help of a large collection of other high-reso...
Ce Liu, Heung-Yeung Shum, William T. Freeman
LCN
2002
IEEE
15 years 3 months ago
On Modeling the Packet Error Statistics in Bursty Channels
Wireless channels usually face bursty errors, i.e., errors are prone to occur in clusters. These bit errors can be modeled using the Gilbert-Elliott model. When data packets are t...
Changli Jiao, Loren Schwiebert, Bin Xu