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ECCV
2004
Springer
14 years 7 months ago
Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking
Abstract. In this paper, we propose a particle filtering approach for tracking applications in image sequences. The system we propose combines a measurement equation and a dynamic ...
Étienne Mémin, Elise Arnaud
RT
2005
Springer
13 years 10 months ago
Bidirectional Importance Sampling for Direct Illumination
Image-based representations for illumination can capture complex real-world lighting that is difficult to represent in other forms. Current importance sampling strategies for ima...
David Burke, Abhijeet Ghosh, Wolfgang Heidrich
CORR
2012
Springer
210views Education» more  CORR 2012»
12 years 1 months ago
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Vinayak Rao, Yee Whye Teh
ACL
2010
13 years 3 months ago
A Taxonomy, Dataset, and Classifier for Automatic Noun Compound Interpretation
The automatic interpretation of noun-noun compounds is an important subproblem within many natural language processing applications and is an area of increasing interest. The prob...
Stephen Tratz, Eduard H. Hovy
EMMCVPR
2011
Springer
12 years 5 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen