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Fusing Real-Time Depth Imaging with High Precision Pose Estimation by a Measurement Arm

机译:通过测量臂融合具有高精度姿态估计的实时深度成像

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Recently, depth cameras have emerged which capture dense depth images in real-time. To benefit from their 3D imaging capabilities in interactive applications which support an arbitrary camera movement, the position and orientation of the depth camera needs to be robustly estimated in real time for each captured depth image. Therefore, this paper describes how to combine a depth camera with a mechanical measurement arm to fuse real-time depth imaging with real-time, high precision pose estimation. Estimating the pose of a depth camera with a measurement arm has three major advantages over 2D/3D image based optical pose estimation: The measurement arm has a very precise guaranteed accuracy better than 0.1mm, the pose estimation accuracy is not influenced by the captured scene and the computational load is much lower than for optical pose estimation, leaving more processing power for the applications themselves.
机译:最近,已经出现了深度相机,其实时捕获密集的深度图像。为了从支持任意摄像机移动的交互式应用中受益于支持任意摄像机运动的3D成像能力,对于每个捕获的深度图像,需要实时地实时估计深度相机的位置和取向。因此,本文介绍了如何将深度相机与机械测量臂组合,以实时,高精度姿态估计熔断实时深度成像。估计具有测量臂的深度相机的姿势具有超过2D / 3D图像的光学姿势估计的三个主要优点:测量臂具有非常精确的保证精度优于0.1mm,姿势估计精度不受捕获的场景的影响并且计算负荷远低于光学姿势估计,为应用程序本身留下更多处理能力。

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