Model-Based Analysis of Hand Posture
IEEE Computer Graphics and Applications
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Computer Vision and Image Understanding
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Real-time viewpoint-invariant hand localization with cluttered backgrounds
Image and Vision Computing
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In this paper, we present GREFIT (Gesture REcognition based on FInger Tips) which is able to extract the 3-dimensional hand posture from video images of the human hand. GREFIT uses a two-stage approach to solve this problem.This paper is based on earlier presented results of a system to locate the 2-D positions of the fingertips in images. We now describe the second stage, where the 2-D position information is transformed by an artificial neural net into an estimate of the 3-D configuration of an articulated hand model, which is also used for visualization. This model is designed according to the dimensions and movement possibilities of a natural human hand.The virtual hand imitates the user's hand to an astonishing accuracy and can track postures from grey scale images at a speed of 10 Hz.