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Media type:
Electronic Conference Proceeding;
Text
Title:
Estimating 2D Multi-hand Poses from Single Depth Images
Contributor:
Duan, Le
[Author];
Shen, Minmin
[Author];
Cui, Song
[Author];
Guo, Zhexiao
[Author];
Deussen, Oliver
[Author]
imprint:
KOPS - The Institutional Repository of the University of Konstanz, 2019
Language:
English
DOI:
https://doi.org/10.1007/978-3-030-11024-6_17
ISBN:
1745084835
Origination:
Footnote:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Description:
We present a novel framework based on Pictorial Structure (PS) models to estimate 2D multi-hand poses from depth images. Most existing single-hand pose estimation algorithms are either subject to strong assumptions or depend on a weak detector to detect the human hand. We utilize Mask R-CNN to avoid both aforementioned constraints. The proposed framework allows detection of multi-hand instances and localization of hand joints simultaneously. Our experiments show that our method is superior to existing methods. ; published