Computer-generated holograms at arbitrary positions using multi-view images
Computer-generated holograms at arbitrary positions using multi-view images
复制标题
使用多视图图像在任意位置计算机生成全息图
DOI：
10.1117/12.907682
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Yuji Sakamoto
中科院分区：
文献类型：
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作者：
Yusuke O H S awa;Yuji Sakamoto
计算机生成全息图（CGH）是通过在计算机中模拟全息图的记录过程而生成的，被认为是一种理想的三维（3D）显示技术。然而，使用CGH，需要基于已经存在的对象创建精确的3D模型数据，并且很难做到这一点。为了解决这个问题，已经有很多关于使用多视点图像（MVIs）生成CGH的研究。MVIs使得在自然光下从真实存在的物体生成CGH成为可能。使用普通数码相机的方法不需要任何特殊设备就可以得到高分辨率的重建图像，但是使用这种方法需要捕获大量图像或使用大量相机来确保足够的连续运动视差。这对于3D显示应用程序的构建来说根本不现实。在本文中，我们描述了一种方法，生成体素模型从捕获的图像，然后使用由模型获得的MVIs生成CGH。我们通过SFS生成体素模型，使用捕获的图像确定体素值，并将体素模型绘制成MVIs。使用这种方法使我们能够安排全息图在任意位置的范围内，其中MVIs是正确产生的。我们还可以通过生成从体素模型获得的MVI来获得足够的连续运动视差，尽管仅捕获少量图像。光学实验结果证明了该方法的有效性。
Computer-generated holograms (CGHs), which are generated by simulating the recording process of a hologram in a computer, are noted as an ideal three-dimensional (3D) display technology. However, with CGHs it is necessary to create precise 3D model data based on objects that already exist, and it is difficult to do this. To solve this problem, there has been much research on generating CGHs using multi-view images (MVIs). MVIs make it possible to generate CGHs from real-existing objects in natural light. A method using ordinary digital cameras resulted in high-resolution reconstructed images without the need for any special devices, but with this method it is necessary to capture a huge number of images or to use a huge number of cameras to ensure a sufficient continuous motion parallax. This is simply not realistic for the construction of 3D display applications. In this paper, we describe a method of generating voxel models from captured images and then using the MVIs obtained by the models to generate CGHs. We generate voxel models by SFS, determine voxel value using the captured images, and render voxel models into MVIs. Using this method enables us to arrange holograms at arbitrary positions in the range in which MVIs are generated correctly. We can also obtain a sufficient continuous motion parallax by generating MVIs obtained from voxel models in spite of capturing only a small number of images. Results of optical experiments demonstrated the effectiveness of the proposed method.