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» Locally Monotonic Models for Image and Video Processing
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ICIP
2009
IEEE
15 years 1 months ago
Random swap EM algorithm for finite mixture models in image segmentation
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...
161
Voted
CGF
2008
151views more  CGF 2008»
15 years 4 months ago
Reconstructing head models from photographs for individualized 3D-audio processing
Visual fidelity and interactivity are the main goals in Computer Graphics research, but recently also audio is assuming an important role. Binaural rendering can provide extremely...
Matteo Dellepiane, Nico Pietroni, Tsingos Tsingos,...
132
Voted
ICIP
2006
IEEE
16 years 5 months ago
Perfect Reconstruction AM-FM Image Models
For the first time, we present an AM-FM image model that, in addition to being remarkably consistent with human visual perception, also provides perfect reconstruction of the imag...
Roy A. Sivley, Joseph P. Havlicek
153
Voted
ICIP
2001
IEEE
16 years 5 months ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot
ICANN
2007
Springer
15 years 10 months ago
Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps
Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image proc...
George Caridakis, Christos Pateritsas, Athanasios ...