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Using segmented 3D point clouds for accurate likelihood approximation in human pose tracking.
Nicolas H. Lehment
Moritz Kaiser
Gerhard Rigoll
Published in:
ICCV Workshops (2011)
Keyphrases
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human pose tracking
pose estimation
highly accurate
high quality
point cloud
single image
data sets
machine learning
genetic algorithm
viewpoint
special case
d objects
high accuracy
maximum likelihood
high precision
likelihood ratio