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Modulation Method Including Noise Model for Minimizing the Wiggling Error of TOF Cameras

机译:包括噪声模型的调制方法,可最大程度地减小TOF摄像机的摆动误差

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摘要

Registered depth and intensity data at a high frame rate, a compact design, low weight, and a reduced power consumption have motivated the increasing usage of lock-in time-of-flight (TOF) cameras in research areas such as computer graphics, machine vision, and robotics. The state-of-the-art practice is to use continuous wave modulation with square waves for TOF cameras. Square waves can be easily generated digitally with a high accuracy and stability using programmable logic devices. In this paper, a modulation method based on sine waves is proposed, which significantly reduces the depth distortion offset (wiggling effect) of lock-in TOF cameras. Furthermore, a model for the noise distribution in the depth image is derived. This model can predict the performance of the proposed modulation method for each pixel in real time.
机译:以高帧速率记录的深度和强度数据,紧凑的设计,轻巧的重量以及降低的功耗,促使在诸如计算机图形学,机器等研究领域中越来越多地使用锁定飞行时间(TOF)相机。视觉和机器人技术。最先进的做法是将连续波调制和方波一起用于TOF摄像机。使用可编程逻辑器件可以以高精度和高稳定性轻松地数字生成方波。本文提出了一种基于正弦波的调制方法,该方法可以显着降低锁定式TOF摄像机的深度失真偏移(摆动效应)。此外,导出用于深度图像中的噪声分布的模型。该模型可以实时预测每个像素提出的调制方法的性能。

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