基于计算机视觉技术的手形手位跟踪方法

Hand Tracking Method Based on Computer Vision

  • 摘要: 研究一种实现手形手位跟踪方法的计算模型。方法基于计算机视觉技术,实现采集手的运动 图像,在手上设置标志使跟踪识别问题简化,读取图像像素的R,G,B值,根据红色和绿色标志点阈值判断标志点位置。结论与结论该方法降低了对硬件的要求,提高的实时性和可靠性,克服了现有虚拟现实手套的沉重,累赘运动不灵活等缺点,可作为人机互工具应用虚拟现实中。

     

    Abstract: Aim To propose a method of realizing hand tracking in virtual reality systems. Methods Based on computer vision techniques, reflective markers were placed on the moving hand to simplify the recognition calculation and improve the reliability of the device. Images captured by a CCD camera were analyzed by the R,G,B value of the pixels in real time. The positions of markers were calculated. The relationship of 3D position and 2D image of hand was analyzed and the positions of the palm and the fingers were automatically calculated. Results and Conclusion The method overcomes the drawbacks of traditional data gloves which are cumbersome and fragile. Ordinary visible light source is used instead of infrared light sources in other studies to reduce the cost of the device.

     

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