Depth Images Filtering In Distributed Streaming

Polish maritime research

Tomasz DziubichGda?sk University of Technology, PolandEmailOther articles by this author:De Gruyter OnlineGoogle Scholar¹  Adam BrzeskiGda?sk University of Technology, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar¹  Jan CychnerskiGda?sk University of Technology, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar¹  Waldemar Kor?ubGda?sk University of Technology, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar¹  Julian Szyma?skiGda?sk University of Technology, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar¹ 

[1] Gda?sk University of Technology, Poland

关键词: Keywords: point cloud processing;    distributed system;    parallel processing;    depth image filtering;   

DOI  :  10.1515/pomr-2016-0025

学科分类：工程和技术（综合）

来源: Politechnika Gdanska * Wydzial Oceanotechniki i Okretownictwa

【 摘 要 】

In this paper, we propose a distributed system for point cloud processing and transferring them via computer network regarding to effectiveness-related requirements. We discuss the comparison of point cloud filters focusing on their usage for streaming optimization. For the filtering step of the stream pipeline processing we evaluate four filters: Voxel Grid, Radial Outliner Remover, Statistical Outlier Removal and Pass Through. For each of the filters we perform a series of tests for evaluating the impact on the point cloud size and transmitting frequency (analysed for various fps ratio). We present results of the optimization process used for point cloud consolidation in a distributed environment. We describe the processing of the point clouds before and after the transmission. Pre- and post-processing allow the user to send the cloud via network without any delays. The proposed pre-processing compression of the cloud and the post-processing reconstruction of it are focused on assuring that the end-user application obtains the cloud with a given precision.

【 授权许可】

Unknown