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A novel approach to hand gesture contour detection based on GVF Snake model and skin color elliptical model

机译:基于GVF Snake模型和肤色椭圆模型的手势轮廓检测新方法

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摘要

Hand gesture contour detection is the key technology of gesture recognition based on computer vision. In this paper, the GVF Snake model and the skin color elliptical model is proposed to extract the contour of the static hand gesture. The skin color elliptical model is used to calculate the field of the hand and the initial contour. Hand gesture contour is detected by the GVF Snake model based on the initial contour. Experiment results shows that the approach is obviously superior to the GVF Snake model or the skin color elliptical model in aspects of accuracy and real-time.
机译:手势轮廓检测是基于计算机视觉的手势识别的关键技术。本文提出了GVF Snake模型和肤色椭圆模型来提取静态手势的轮廓。肤色椭圆模型用于计算手的区域和初始轮廓。 GVF Snake模型基于初始轮廓检测手势轮廓。实验结果表明,该方法在准确性和实时性方面明显优于GVF Snake模型或肤色椭圆模型。

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