Combination of Positions and Angles for Hand Pose Estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956392" target="_blank" >RIV/49777513:23520/19:43956392 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-26061-3_22" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-26061-3_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-26061-3_22" target="_blank" >10.1007/978-3-030-26061-3_22</a>
Alternative languages
Result language
angličtina
Original language name
Combination of Positions and Angles for Hand Pose Estimation
Original language description
This paper deals with the estimation of hand pose from a single depth image. We present a method that is based on a description of the hand pose via local rotations of bones trained discriminatively in an end-to-end fashion using a convolutional neural network. We compare our method with existing approach of hand pose estimation of 3D locations of hand joints. For this purpose, we collected precise ground-truth data with a passive marker-based optical motion capture technology. The results show, that the estimation of the hand pose formulated as a combination of local rotations of bones and relative locations of joints outperforms the direct estimation of 3D global joints locations.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Speech and Computer, 21st International Conference, SPECOM 2019, Istanbul, turkey, August 20-25,2019, Proceedings
ISBN
978-3-030-26060-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
10
Pages from-to
209-218
Publisher name
Springer
Place of publication
Cham
Event location
Instanbul, Turkey
Event date
Aug 20, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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