Depth Images Filtering In Distributed Streaming
| Autor: | Adam Brzeski, Tomasz Dziubich, Jan Cychnerski, Julian Szymański, Waldemar Korłub |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
parallel processing
Computer science Naval architecture. Shipbuilding. Marine engineering Real-time computing 0211 other engineering and technologies Point cloud VM1-989 Ocean Engineering Cloud computing 02 engineering and technology depth image filtering 0202 electrical engineering electronic engineering information engineering Astrophysics::Galaxy Astrophysics 021101 geological & geomatics engineering Distributed Computing Environment business.industry Mechanical Engineering Process (computing) distributed system Grid Pipeline (software) Transmission (telecommunications) Parallel processing (DSP implementation) point cloud processing 020201 artificial intelligence & image processing business |
| Zdroj: | Polish Maritime Research, Vol 23, Iss 2, Pp 91-98 (2016) |
| ISSN: | 2083-7429 |
| DOI: | 10.1515/pomr-2016-0025 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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