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3D reconstruction based on digital speckle correlation in virtual sport

机译:虚拟运动中基于数字散斑相关性的3D重建

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摘要

Virtual sport is a natural, harmonious and immersive system of human-computer interaction. It implements by sensing 3D information of the body movement in the scene. The traditional speckle correlation based 3D reconstruction algorithm cannot meet the actual requirement because of the low searching speed. In this paper, we study the method of the digital speckle correlation measurement deeply, and propose an effective searching method using the relevant information of neighborhood. The propose method can reduce the computational complexity of point correspondence greatly, and improve the speed of depth measurement. Besides, we present a new interpolation method based on distance-driven weights according to the error feature. It can improve the accuracy of depth measurement to a great extent. The tests performed on real captured images confirm the validity of our approach.
机译:虚拟运动是人机交互的自然,和谐和沉浸式系统。它通过感测场景中人体运动的3D信息来实现。传统的基于斑点相关的3D重建算法由于搜索速度慢而不能满足实际需求。本文对数字散斑相关度测量方法进行了深入研究,提出了一种利用邻域相关信息进行有效搜索的方法。该方法可以大大降低点对应的计算复杂度,提高测深速度。此外,根据误差特征,提出了一种基于距离驱动权重的插值方法。它可以在很大程度上提高深度测量的准确性。对真实捕获的图像进行的测试证实了我们方法的有效性。

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