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2010
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An Object-Dependent Hand Pose Prior from Sparse Training Data

12 years 1 months ago
An Object-Dependent Hand Pose Prior from Sparse Training Data
In this paper, we propose a prior for hand pose estimation that integrates the direct relation between a manipulating hand and a 3d object. This is of particular interest for a variety of applications since many tasks performed by humans require hand-object interaction. Inspired by the ability of humans to learn the handling of an object from a single example, our focus lies on very sparse training data. We express estimated hand poses in local object coordinates and extract for each individual hand segment, the relative position and orientation as well as contact points on the object. The prior is then modeled as a spatial distribution conditioned to the object. Given a new object of the same object class and new hand dimensions, we can transfer the prior by a procedure involving a geometric warp. In our experiments, we demonstrate that the prior may be used to improve the robustness of a 3d hand tracker and to synthesize a new hand grasping a new object. For this, we integrate the p...
Henning Hamer, Juergen Gall, Thibaut Weise, Luc Va
Added 31 Mar 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors Henning Hamer, Juergen Gall, Thibaut Weise, Luc Van Gool
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