Model-based reinforcement of Kinect depth data for human motion capture applications.
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A Real-Time Kinect Signature-Based Patient Home Monitoring System.Using perceptive computing in multiple sclerosis - the Short Maximum Speed Walk test.Articulated Non-Rigid Point Set Registration for Human Pose Estimation from 3D SensorsA new, effective and low-cost three-dimensional approach for the estimation of upper-limb volume.
P2860
Model-based reinforcement of Kinect depth data for human motion capture applications.
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2013 nî lūn-bûn
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2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Model-based reinforcement of Kinect depth data for human motion capture applications.
@ast
Model-based reinforcement of Kinect depth data for human motion capture applications.
@en
type
label
Model-based reinforcement of Kinect depth data for human motion capture applications.
@ast
Model-based reinforcement of Kinect depth data for human motion capture applications.
@en
prefLabel
Model-based reinforcement of Kinect depth data for human motion capture applications.
@ast
Model-based reinforcement of Kinect depth data for human motion capture applications.
@en
P2093
P2860
P50
P356
P1433
P1476
Model-based reinforcement of Kinect depth data for human motion capture applications
@en
P2093
Andreas Skiadopoulos
Juan Pedro Bandera
Luis Vicente Calderita
Pablo Bustos
P2860
P304
P356
10.3390/S130708835
P407
P577
2013-07-10T00:00:00Z