Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression
In this paper we will present a new dynamic point cloud compression based on different projection types and bit depth, combined with the surface reconstruction algorithm and video compression for obtained geometry and texture maps. Texture maps have been compressed after creating Voronoi diagrams. U...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/1/197 |
| _version_ | 1827667671707025408 |
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| author | Emil Dumic Anamaria Bjelopera Andreas Nüchter |
| author_facet | Emil Dumic Anamaria Bjelopera Andreas Nüchter |
| author_sort | Emil Dumic |
| collection | DOAJ |
| description | In this paper we will present a new dynamic point cloud compression based on different projection types and bit depth, combined with the surface reconstruction algorithm and video compression for obtained geometry and texture maps. Texture maps have been compressed after creating Voronoi diagrams. Used video compression is specific for geometry (FFV1) and texture (H.265/HEVC). Decompressed point clouds are reconstructed using a Poisson surface reconstruction algorithm. Comparison with the original point clouds was performed using point-to-point and point-to-plane measures. Comprehensive experiments show better performance for some projection maps: cylindrical, Miller and Mercator projections. |
| first_indexed | 2024-03-10T03:22:32Z |
| format | Article |
| id | doaj.art-db08b8a29f7743a4bb95d620a0fa52ba |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:22:32Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-db08b8a29f7743a4bb95d620a0fa52ba2023-11-23T12:18:26ZengMDPI AGSensors1424-82202021-12-0122119710.3390/s22010197Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video CompressionEmil Dumic0Anamaria Bjelopera1Andreas Nüchter2Department of Electrical Engineering, University North, 104. Brigade 3, 42000 Varaždin, CroatiaDepartment of Electrical Engineering and Computing, University of Dubrovnik, Cira Carica 4, 20000 Dubrovnik, CroatiaDepartment of Informatics VII—Robotics and Telematics, Julius-Maximilians-University Würzburg, 97074 Würzburg, GermanyIn this paper we will present a new dynamic point cloud compression based on different projection types and bit depth, combined with the surface reconstruction algorithm and video compression for obtained geometry and texture maps. Texture maps have been compressed after creating Voronoi diagrams. Used video compression is specific for geometry (FFV1) and texture (H.265/HEVC). Decompressed point clouds are reconstructed using a Poisson surface reconstruction algorithm. Comparison with the original point clouds was performed using point-to-point and point-to-plane measures. Comprehensive experiments show better performance for some projection maps: cylindrical, Miller and Mercator projections.https://www.mdpi.com/1424-8220/22/1/1973DTK toolkitmap projectionspoint cloud compressionpoint-to-point measurepoint-to-plane measurePoisson surface reconstruction |
| spellingShingle | Emil Dumic Anamaria Bjelopera Andreas Nüchter Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression Sensors 3DTK toolkit map projections point cloud compression point-to-point measure point-to-plane measure Poisson surface reconstruction |
| title | Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression |
| title_full | Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression |
| title_fullStr | Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression |
| title_full_unstemmed | Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression |
| title_short | Dynamic Point Cloud Compression Based on Projections, Surface Reconstruction and Video Compression |
| title_sort | dynamic point cloud compression based on projections surface reconstruction and video compression |
| topic | 3DTK toolkit map projections point cloud compression point-to-point measure point-to-plane measure Poisson surface reconstruction |
| url | https://www.mdpi.com/1424-8220/22/1/197 |
| work_keys_str_mv | AT emildumic dynamicpointcloudcompressionbasedonprojectionssurfacereconstructionandvideocompression AT anamariabjelopera dynamicpointcloudcompressionbasedonprojectionssurfacereconstructionandvideocompression AT andreasnuchter dynamicpointcloudcompressionbasedonprojectionssurfacereconstructionandvideocompression |