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Tracking-based depth recovery for virtual reality applications

机译:虚拟现实应用程序的基于跟踪的深度恢复

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摘要

This paper describes a technique for tracking-based reconstruction from camera images. The position and orientation data are provided by a commercial laser tracker rigidly attached to the camera. The tracker enables the determination of the extrinsic camera parameters. Focal length is automatically calibrated in parallel with the depth computation process by means of a Kalman filter. In addition to its simplicity, our technique enables the fast generation of three-dimensional models from two-dimensional images to be used in virtual reality applications.
机译:本文介绍了一种用于从摄像机图像进行基于跟踪的重构的技术。位置和方向数据由固定安装在相机上的商用激光跟踪仪提供。跟踪器可以确定外部摄像机的参数。借助卡尔曼滤波器,与深度计算过程并行地自动校准焦距。除了简单之外,我们的技术还可以从二维图像快速生成三维模型,以用于虚拟现实应用程序。

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