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.

中文翻译：

---

ToF传感器阵列中的实时干扰伪像。

飞行时间（ToF）传感器是各种错误的源头，其中包括由传感器的并行扫描模式引起的多摄像机干扰伪像。本文提出了一种新的基于重要性图的基于中值滤波算法来抑制干扰伪影，作为潜在的3D滤波方法。该方法基于多个深度帧的处理，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的功能性，建议与一些标准方法相结合。针对基于神经网络和统计数据的流行过滤方法，对包含不同纹理和形态的现实世界对象组成的数据集评估了算法的性能。