Synergy-Driven Performance Enhancement of Vision-Based 3D Hand Pose Reconstruction

MobiHealth, pp. 328-336, 2016.

Cited by: 2|Bibtex|Views9|Links
EI

Abstract:

In this work we propose, for the first time, to improve the performance of a Hand Pose Reconstruction (HPR) technique from RGBD camera data, which is affected by self-occlusions, leveraging upon postural synergy information, i.e., a priori information on how human most commonly use and shape their hands in everyday life tasks. More specif...More

Code:

Data:

Your rating :
0

 

Tags
Comments