Department of Mechatronics and Electronics, University of Žilina, 010 26 Žilina, Slovakia.
Sensors (Basel). 2020 Jul 2;20(13):3701. doi: 10.3390/s20133701.
Time of Flight (ToF) sensors are the source of various errors, including the multi-camera interference artifact caused by the parallel scanning mode of the sensors. This paper presents the novel Importance Map Based Median filtration algorithm for interference artifacts suppression, as the potential 3D filtration method. The approach is based on the processing of multiple depth frames, using the extraction of the interference region and application of the interpolation. Considering the limitations and good functionalities of proposed algorithm, the combination with some standard methods was suggested. Performance of the algorithm was evaluated on the dataset consisting of the real-world objects with different texture and morphology against popular filtering methods based on neural networks and statistics.
飞行时间 (ToF) 传感器是各种误差的来源,包括传感器的并行扫描模式引起的多相机干扰伪影。本文提出了一种新颖的基于重要图的中值滤波算法,作为潜在的 3D 滤波方法,用于抑制干扰伪影。该方法基于对多个深度帧的处理,使用干扰区域的提取和插值的应用。考虑到所提出算法的局限性和良好功能,建议将其与一些标准方法相结合。该算法的性能在包含具有不同纹理和形态的真实物体的数据集上进行了评估,与基于神经网络和统计学的流行滤波方法进行了比较。