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Color Reduction in an Authenticate Live 3D Point Cloud Video Streaming System

机译：经过身份验证的实时3D点云视频流系统中的色彩还原

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摘要

In this paper, an authenticate live 3D point cloud video streaming system is presented, using a low cost 3D sensor camera, the Microsoft Kinect. The proposed system is implemented on a client-server network infrastructure. The live 3D video is captured from the Kinect RGB-D sensor, then a 3D point cloud is generated and processed. Filtering and compression are used to handle the spatial and temporal redundancies. A color histogram based conditional filter is designed to reduce the color information for each frame based on the mean and standard deviation. In addition to the designed filter, a statistical outlier removal filter is used. A certificate-based authentication is used where the client will verify the identity of the server during the handshake process. The processed 3D point cloud video is live streamed over a TCP/IP protocol to the client. The system is evaluated in terms of: compression ratio, total bytes per points, peak signal to noise ratio (PSNR), and Structural Similarity (SSIM) index. The experimental results demonstrate that the proposed video streaming system have a best case with SSIM 0.859, PSNR of 26.6 dB and with average compression ratio of 8.42 while the best average compression ratio case is about 15.43 with PSNR 18.5128 dB of and SSIM 0.7936.
机译：在本文中，提出了一种使用低成本3D传感器摄像机Microsoft Kinect的经过身份验证的实时3D点云视频流系统。所提出的系统在客户端-服务器网络基础结构上实现。从Kinect RGB-D传感器捕获实时3D视频，然后生成并处理3D点云。过滤和压缩用于处理空间和时间冗余。基于颜色直方图的条件滤波器被设计为基于均值和标准差来减少每帧的颜色信息。除了设计的过滤器之外，还使用统计异常值去除过滤器。使用基于证书的身份验证，客户端将在握手过程中验证服务器的身份。经处理的3D点云视频通过TCP / IP协议实时流传输到客户端。根据以下各项对系统进行评估：压缩率，每点总字节数，峰值信噪比（PSNR）和结构相似性（SSIM）索引。实验结果表明，所提出的视频流系统的最佳情况是SSIM为0.859，PSNR为26.6 dB，平均压缩比为8.42，而最佳平均压缩率为15.43，PSNR为18.5128 dB，SSIM为0.7936。

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