Research of 3D reconstruction and filtering algorithm based on depth information of Kinect
基于Kinect深度信息的实时三维重建和滤波算法研究

This paper analyzed and improved 3D reconstruction algorithm using the depth information from Kinect. To reduce noise, it proposed an improved bilateral filtering algorithm based on the signal structure. This new algorithm used a two-valued function to compute the weights of the filter, because the range of depth image data was already known. It also combined the RGB values and depth information of surrounding pixels to complement some missing depth information. The results show that the proposed algorithm has much better performance and efficiency, namely 6 times as fast as the original algorithm.