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Application of Digital Phase Shift Moiré to Reconstruction of Human Face

机译:数字相移云纹在人脸重建中的应用

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Computer vision has been largely used in industrial automation applications such as automatic inspection, robot control, security, and entertainment. Computer vision techniques based on optical measurement systems are very useful for fragile surface where no contact or disturbances on the object to be measured are allowed. In this paper we present very efficient technique for 3D reconstruction of surface. This technique is based on digital phase shift Moiré. In the measurement process, a video projector projects a lines pattern on a test surface and a digital camera captured the image of deformed lines on it. Virtual lines pattern that is generated in computer has the same pitch as the reference lines pattern used in experimental setup. Superimposition of virtual pattern on captured deform lines, create Moiré fringe pattern. Finally by applying phase shift analysis and phase unwrapping technique, the 3D profile of test surface can be reconstructed. The advantage of the proposed technique is requiring only a single image as input. Hence it is especially suitable for analyzing dynamic objects. Experimental work on complex shape like human face is carried out to validate the proposed method.
机译:计算机视觉已广泛用于工业自动化应用中,例如自动检查,机器人控制,安全性和娱乐性。基于光学测量系统的计算机视觉技术对于脆弱的表面非常有用,在该表面上不允许接触或干扰待测物体。在本文中,我们提出了一种非常有效的表面3D重建技术。该技术基于莫尔数字相移。在测量过程中,视频投影仪将线条图案投影到测试表面上,而数码相机则在其上捕获了变形线条的图像。在计算机中生成的虚拟线条图案的间距与实验设置中使用的参考线条图案的间距相同。在捕获的变形线上叠加虚拟图案,创建莫尔条纹图案。最后,通过应用相移分析和相位展开技术,可以重建测试表面的3D轮廓。所提出的技术的优点是仅需要单个图像作为输入。因此,它特别适用于分析动态对象。对复杂形状(如人脸)进行了实验工作,以验证该方法的有效性。

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