Depth-images-based pose estimation using regression forests and graphical models.

Li He Guijin Wang Qingmin Liao Jing-Hao Xue

Published in: Neurocomputing (2015)

Keyphrases

graphical models
depth images
pose estimation
head pose estimation
probabilistic model
human body
bayesian networks
d objects
computer vision
conditional random fields
feature points
object recognition
graph structure
viewpoint
pairwise
logistic regression
visual tracking
random forests
high quality
three dimensional