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Hand Pointing Estimation for Human Computer Interaction Based on Two Orthogonal-Views

12 years 11 days ago
Hand Pointing Estimation for Human Computer Interaction Based on Two Orthogonal-Views
Hand pointing has been an intuitive gesture for human interaction with computers. Big challenges are still posted for accurate estimation of finger pointing direction in a 3D space. In this paper, we present a novel hand pointing estimation system based on two regular cameras, which includes hand region detection, hand finger estimation, two views’ feature detection, and 3D pointing direction estimation. Based on the idea of binary pattern face detector [15], we extend the work to hand detection, in which a polar coordinate system is proposed to represent the hand region, and achieved a good result in terms of the robustness to hand orientation variation. To estimate the pointing direction, we applied an AAM based approach to detect and track 14 feature points along the hand contour from a top view and a side view. Combining two views of the hand features, the 3D pointing direction is estimated. The experiments have demonstrated the feasibility and reliability of the system.
Kaoning Hu, Shaun Canavan, Lijun Yin
Added 13 May 2010
Updated 13 May 2010
Type Conference
Year 2010
Where ICPR
Authors Kaoning Hu, Shaun Canavan, Lijun Yin
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