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DAGM
2001
Springer
14 years 1 months ago
Optimal Camera Parameter Selection for State Estimation with Applications in Object Recognition
In this paper we introduce a formalism for optimal camera parameter selection for iterative state estimation. We consider a framework based on Shannon’s information theory and se...
Joachim Denzler, Christopher M. Brown, Heinrich Ni...
VISAPP
2010
13 years 6 months ago
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
Ali Mohammad-Djafari
AMFG
2003
IEEE
113views Biometrics» more  AMFG 2003»
14 years 2 months ago
Sequential Monte Carlo Tracking of Body Parameters in a Sub-Space
In recent years Sequential Monte Carlo (SMC) methods have been applied to handle some of the problems inherent to model-based tracking. In this paper two issues regarding SMC are ...
Thomas B. Moeslund, Erik Granum
DCC
2008
IEEE
14 years 8 months ago
An Estimation-Theoretic Interpretation of Video Rate Distortion Optimization with Lagrangian Formulation
Rate distortion optimization with Lagrangian formulation is widely used in video encoder control and has proved effective in achieving a good trade-off between coding efficiency a...
Zhen Li, Alexis Michael Tourapis
PAMI
2006
143views more  PAMI 2006»
13 years 8 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin