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Modeling and correction of multipath interference in time of flight cameras

机译:飞行摄影机中多径干扰的建模和校正

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Multipath interference of light is the cause of important errors in Time of Flight (ToF) depth estimation. This paper proposes an algorithm that removes multipath distortion from a single depth map obtained by a ToF camera. Our approach does not require information about the scene, apart from ToF measurements. The method is based on fitting ToF measurements with a radiometric model. Model inputs are depth values free from multipath interference whereas model outputs consist of synthesized ToF measurements. We propose an iterative optimization algorithm that obtains model parameters that best reproduce ToF measurements, recovering the depth of the scene without distortion. We show results with both synthetic and real scenes captured by commercial ToF sensors. In all cases, our algorithm accurately corrects the multipath distortion, obtaining depth maps that are very close to ground truth data.
机译:光的多径干扰是飞行时间(ToF)深度估计中重要误差的原因。本文提出了一种从ToF摄像机获得的单个深度图中消除多径失真的算法。除了ToF测量,我们的方法不需要有关场景的信息。该方法基于将ToF测量值与辐射模型拟合。模型输入是没有多径干扰的深度值,而模型输出则包含合成的ToF测量值。我们提出了一种迭代优化算法,该算法可获取能够最佳重现ToF测量值的模型参数,并在不失真的情况下恢复场景深度。我们用商用ToF传感器捕获的合成场景和真实场景显示结果。在所有情况下,我们的算法都能准确校正多径失真,从而获得与地面真实数据非常接近的深度图。

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