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A new method for inpainting of depth maps from time-of-flight sensors based on a modified closing by reconstruction algorithm

机译:基于修正闭合算法的飞行时间传感器深度图修复的新方法

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Time-of-Flight (ToF) sensors are popular devices that extract 3D information from a scene but result to be susceptible to noise and loss of data creating holes and gaps in the boundaries of the objects. The most common approaches to tackling this problem are supported by color images with good results, however, not all ToF devices produce color information. Mathematical morphology provides operators that can manage the problem of noise in single depth frames. In this paper, a new method for the filtering of single depth maps, when no color image is available, is presented, based on a modification to the morphological closing by reconstruction algorithm. The proposed method eliminates noise, emphasizing a high contour preservation, and it is compared, both qualitative and quantitatively, with other state-of-the-art filters. The proposed method represents an improvement to the closing by reconstruction algorithm that can be applied for filter depth maps of ToF devices. (c) 2017 Elsevier Inc. All rights reserved.
机译:飞行时间(ToF)传感器是一种流行的设备,可以从场景中提取3D信息,但易受噪声和数据丢失的影响,从而在对象边界上形成孔洞和间隙。彩色图像支持解决此问题的最常用方法,效果很好,但是,并非所有的ToF设备都产生彩色信息。数学形态学为算子提供了可以处理单深度帧中的噪声问题的运算符。基于重构算法对形态学闭合的一种改进,提出了一种在没有彩色图像的情况下对单深度图进行滤波的新方法。所提出的方法消除了噪声,强调了较高的轮廓保持性,并且将其与其他最新的滤波器进行了定性和定量的比较。所提出的方法代表了对重构算法的改进,该算法可以应用于ToF设备的滤波器深度图。 (c)2017 Elsevier Inc.保留所有权利。

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