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Real-Time Hand Tracking Using a Sum of Anisotropic Gaussians Model

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons79499

Sridhar,  Srinath
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons79450

Rhodin,  Helge
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45610

Theobalt,  Christian
Computer Graphics, MPI for Informatics, Max Planck Society;

Externe Ressourcen
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Volltexte (frei zugänglich)

arXiv:1602.03860.pdf
(Preprint), 3MB

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Zitation

Sridhar, S., Rhodin, H., Seidel, H.-P., Oulasvirta, A., & Theobalt, C. (2016). Real-Time Hand Tracking Using a Sum of Anisotropic Gaussians Model. Retrieved from http://arxiv.org/abs/1602.03860.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-002B-9878-6
Zusammenfassung
Real-time marker-less hand tracking is of increasing importance in human-computer interaction. Robust and accurate tracking of arbitrary hand motion is a challenging problem due to the many degrees of freedom, frequent self-occlusions, fast motions, and uniform skin color. In this paper, we propose a new approach that tracks the full skeleton motion of the hand from multiple RGB cameras in real-time. The main contributions include a new generative tracking method which employs an implicit hand shape representation based on Sum of Anisotropic Gaussians (SAG), and a pose fitting energy that is smooth and analytically differentiable making fast gradient based pose optimization possible. This shape representation, together with a full perspective projection model, enables more accurate hand modeling than a related baseline method from literature. Our method achieves better accuracy than previous methods and runs at 25 fps. We show these improvements both qualitatively and quantitatively on publicly available datasets.