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An accurate estimation of preterm infants' limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions.
Lucia Migliorelli
Emanuele Frontoni
Sara Moccia
Published in:
Expert Syst. Appl. (2022)
Keyphrases
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accurate estimation
depth images
pose estimation
human pose
human pose estimation
depth information
depth data
densely connected
low resolution
d objects
gender recognition
human body
random forests
feature points
computer vision
data mining
depth map
community structure
community detection
random walk