Improvements in 3D Hand Pose Estimation Using Synthetic Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952762" target="_blank" >RIV/49777513:23520/18:43952762 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-99582-3_12" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-99582-3_12</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-99582-3_12" target="_blank" >10.1007/978-3-319-99582-3_12</a>
Alternative languages
Result language
angličtina
Original language name
Improvements in 3D Hand Pose Estimation Using Synthetic Data
Original language description
The neural networks currently outperform earlier approaches to the hand pose estimation. However, to achieve the superior results a large amount of the appropriate training data is desperately needed. But the acquisition of the real hand pose data is a time and resources consuming process. One of the possible solutions uses the synthetic training data. We introduce a method to generate synthetic depth images of the hand closely matching the real images. We extend the approach of the previous works to the modeling of the depth image data using the 3D scan of the subject’s hand and the hand pose prior given by the real data distribution. We found out that combining them with the real training data can result in a better performance.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/EF15_003%2F0000466" target="_blank" >EF15_003/0000466: Artificial Intelligence and Reasoning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Interactive Collaborative Robotics Third International Conference, ICR 2018 Leipzig, Germany, September 18–22, 2018 Proceedings
ISBN
978-3-319-99581-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
11
Pages from-to
105-115
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Leipzig, Germany
Event date
Sep 18, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—