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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

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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

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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/