我为什么要在我的RGB-D传感器上安装陀螺仪?

H. Ovrén, Per-Erik Forssén, D. Tornqvist
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引用次数: 16

摘要

许多RGB-D传感器,例如微软的Kinect,使用滚动快门相机。当传感器移动时,这种相机会产生几何扭曲的图像。为了减轻这些滚动快门失真,我们提出了一种使用附加陀螺仪校正深度扫描的方法。我们还提出了一种简单的方案来校准陀螺仪和滚动快门RGB-D传感器之间的相对姿态和时间同步。我们通过将校正方案与Kinect融合算法相结合来检验校正方案的有效性。通过比较从原始传感器扫描和从校正扫描获得的Kinect融合模型,我们展示了三类传感器运动的改进:平移运动导致倾斜扭曲,倾斜运动导致垂直拉长或压缩物体。与使用整流深度扫描重建相比,对于摆动,我们还观察到细节的损失。由于我们的方法依赖于陀螺仪读数,与运行Kinect Fusion的成本相比,所需的计算量可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why would i want a gyroscope on my RGB-D sensor?
Many RGB-D sensors, e.g. the Microsoft Kinect, use rolling shutter cameras. Such cameras produce geometrically distorted images when the sensor is moving. To mitigate these rolling shutter distortions we propose a method that uses an attached gyroscope to rectify the depth scans. We also present a simple scheme to calibrate the relative pose and time synchronization between the gyro and a rolling shutter RGB-D sensor. We examine the effectiveness of our rectification scheme by coupling it with the the Kinect Fusion algorithm. By comparing Kinect Fusion models obtained from raw sensor scans and from rectified scans, we demonstrate improvement for three classes of sensor motion: panning motions causes slant distortions, and tilt motions cause vertically elongated or compressed objects. For wobble we also observe a loss of detail, compared to the reconstruction using rectified depth scans. As our method relies on gyroscope readings, the amount of computations required is negligible compared to the cost of running Kinect Fusion.
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