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DAGM
2001
Springer
15 years 4 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
14 years 9 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»
15 years 5 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
15 years 11 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»
14 years 11 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