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

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.

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Genre: Forschungspapier
Latex : Real-Time Hand Tracking Using a Sum of Anisotropic {Gaussians} Model

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arXiv:1602.03860.pdf (Preprint), 3MB
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arXiv:1602.03860.pdf
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File downloaded from arXiv at 2016-10-12 10:23 Accepted version of paper published at 3DV 2014
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 Urheber:
Sridhar, Srinath1, Autor           
Rhodin, Helge1, Autor           
Seidel, Hans-Peter1, Autor           
Oulasvirta, Antti2, Autor           
Theobalt, Christian1, Autor           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

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Schlagwörter: Computer Science, Computer Vision and Pattern Recognition, cs.CV
 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.

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Sprache(n): eng - English
 Datum: 2016-02-112016
 Publikationsstatus: Online veröffentlicht
 Seiten: 8 p.
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 Identifikatoren: arXiv: 1602.03860
URI: http://arxiv.org/abs/1602.03860
BibTex Citekey: Sridhar2016arXiv1602.03860
 Art des Abschluß: -

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