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Development of a fast transmission method for 3D point cloud

机译：3D点云快速传输方法的开发

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摘要

In this paper, a transmission method of the 3D point cloud data of the object upper body is proposed. The key idea of the method is to reduce the amount of transmission data in the condition of retaining the necessary information. In our system, the unnecessary information is removed by using filters and the segmentation algorithm. Three P frames (Predicted frame) are inserted between two I frames (Intra frame) to further improve the transmission rate. The I frame of large size includes all the vision information that is related to the object upper body, while the P frame includes only the information of the small change in the current frame, whose size is smaller than the former. In order to acquire the information of the P frame, first, a human face detection algorithm based on the machine learning technology is implemented. Then, a coarse-to-fine approach is used to detect the nose tip which helps to improve the precision of acquiring the human faces information. The experiment result demonstrates that the proposed method is able to reduce the time delay of processing and transmission and to lower the compression ratio with an allowable distortion rate.
机译：本文提出了一种物体上身的3D点云数据的传输方法。该方法的关键思想是在保留必要信息的情况下减少传输数据量。在我们的系统中，通过使用过滤器和分段算法来删除不必要的信息。在两个I帧（内部帧）之间插入三个P帧（预测帧），以进一步提高传输速率。大尺寸的I帧包含与对象上身有关的所有视觉信息，而P帧仅包含当前帧中变化较小的信息，其大小小于前者。为了获取P帧的信息，首先，实现了基于机器学习技术的人脸检测算法。然后，使用从粗到精的方法来检测鼻尖，这有助于提高获取人脸信息的精度。实验结果表明，该方法能够减少处理和传输的时间延迟，并以允许的失真率降低压缩比。

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