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A camera network for the voxel data acquiring of the Three-Dimensional Swept Volume Display

机译:用于三维扫量显示的体素数据采集的摄像机网络

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This paper presents a camera network to acquire the voxel data of the Three-Dimensional (3D) Swept Volume Display that can render 3D images for viewers from different views simultaneously without the aid of special headgear or glasses. In this paper, we first design the structure of the network according to parameters of the camera. Then, its corresponding effective area is calculated. Finally, a virtual camera model is proposed according to the radius of the effective area to improve the view utilization of each camera. Results show that we can get a dense 3D model after disparity calculating and merging using multi-view stereo technology of the image captured under our network and it is capable of being displayed in the 3D Swept Volume Display with full 360 degree view angles, also the view of each camera is utilized maximally.
机译:本文介绍了一种摄像头网络,该摄像头网络可获取三维(3D)扫掠体显示的体素数据,无需借助特殊的头饰或眼镜,即可同时从不同视角为观看者呈现3D图像。在本文中,我们首先根据摄像机的参数设计网络的结构。然后,计算其相应的有效面积。最后,根据有效区域的半径提出了虚拟摄像机模型,以提高每个摄像机的视图利用率。结果表明,使用网络下捕获的图像的多视立体技术对视差进行计算和合并后,我们可以获得密集的3D模型,该模型可以在具有360度全视角的3D扫掠体显示中显示,最大限度地利用了每个摄像机的视图。

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