Ev2Hands

3D hand tracking from a monocular video is a very challenging problem due to hand interactions, occlusions, left-right hand ambiguity, and fast motion. Most existing methods rely on RGB inputs, which have severe limitations under low-light conditions and suffer from motion blur.

Data and Resources

Cite this as

Christen Millerdurai, Diogo Luvizon, Viktor Rudnev, Andr´e Jonas, Jiayi Wang, Christian Theobalt, Vladislav Golyanik (2024). Dataset: Ev2Hands. https://doi.org/10.57702/s3nxbckn

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2312.14157
Author Christen Millerdurai
More Authors
Diogo Luvizon
Viktor Rudnev
Andr´e Jonas
Jiayi Wang
Christian Theobalt
Vladislav Golyanik
Homepage https://4dqv.mpi-inf.mpg.de/Ev2Hands/