Bringing 3D vision to the web: Acquiring motion parallax using commodity cameras and WebGL

Patrik Goorts, S. Maesen, Dimitri Scarlino, P. Bekaert
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引用次数: 1

Abstract

In this paper, we present a system to acquire 3D vision by motion parallax on web-based platforms using head tracking. We employ the camshift algorithm to perform color-based head tracking. Using the position of the head, we can render a 3D scene from the viewpoint of the viewer, thus acquiring motion parallax, a strong cue for 3D vision. We employed web technologies to allow the adoption of our method to any modern device, including mobile devices. WebGL is used for rendering and head tracking, and WebRTC is used for camera input. No software installation or plugins are required. We demonstrated the effectiveness of our method on a variety of devices, such as desktop computers, laptops, and tablets.
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将3D视觉带入网络:使用普通相机和WebGL获取运动视差
在本文中,我们提出了一种基于网络平台的基于运动视差的头部跟踪三维视觉获取系统。我们采用camshift算法来执行基于颜色的头部跟踪。利用头部的位置,我们可以从观看者的角度渲染3D场景,从而获得运动视差,这是3D视觉的一个强大线索。我们利用网络技术,让我们的方法可以应用于任何现代设备,包括移动设备。WebGL用于渲染和头部跟踪,而WebRTC用于摄像头输入。不需要安装软件或插件。我们在各种设备(如台式电脑、笔记本电脑和平板电脑)上展示了我们方法的有效性。
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