Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220956789> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4220956789 endingPage "102080" @default.
- W4220956789 startingPage "102080" @default.
- W4220956789 abstract "Point cloud processing has received more attention in recent years. Due to the huge amount of data, using supervoxels to pre-segment the points can improve the performance of point cloud processing tasks. There are some supervoxel algorithms generating high-quality results, but their low efficiency hinders the wide application in point cloud processing tasks. In this paper, we try to strike a good balance between the quality and efficiency of point cloud over-segmentation. We propose an algorithm suitable for GPU acceleration, which can generate supervoxel with high efficiency. The algorithm is a seed-based segmentation method, and we carefully design two stages: the clustering stage and optimization stage, each of which can be executed in parallel on the GPU. In the first stage, the algorithm generates an initial segmentation based on well designed energy functions, and the second stage further improves the result by minimizing the segmentation energy. Our method generates good segmentation results and achieves the fastest processing speed compared with the existing methods. We evaluate the supervoxels on three public datasets. Experiments show that our algorithm can generate high-quality segmentation for various point cloud data with high efficiency, which is important for advancing the application of point cloud supervoxels in subsequent processing." @default.
- W4220956789 created "2022-04-03" @default.
- W4220956789 creator A5012644714 @default.
- W4220956789 creator A5030253345 @default.
- W4220956789 creator A5031008569 @default.
- W4220956789 creator A5042004857 @default.
- W4220956789 creator A5051198154 @default.
- W4220956789 date "2022-02-01" @default.
- W4220956789 modified "2023-10-18" @default.
- W4220956789 title "GPU-based supervoxel segmentation for 3D point clouds" @default.
- W4220956789 cites W2003060733 @default.
- W4220956789 cites W2033863690 @default.
- W4220956789 cites W2058849570 @default.
- W4220956789 cites W2118246710 @default.
- W4220956789 cites W2119531662 @default.
- W4220956789 cites W2119823327 @default.
- W4220956789 cites W2150593711 @default.
- W4220956789 cites W2155033583 @default.
- W4220956789 cites W2202558491 @default.
- W4220956789 cites W2344371161 @default.
- W4220956789 cites W2541562795 @default.
- W4220956789 cites W2602809673 @default.
- W4220956789 cites W2610213140 @default.
- W4220956789 cites W2757028014 @default.
- W4220956789 cites W2804872164 @default.
- W4220956789 cites W3005197979 @default.
- W4220956789 cites W3208052802 @default.
- W4220956789 doi "https://doi.org/10.1016/j.cagd.2022.102080" @default.
- W4220956789 hasPublicationYear "2022" @default.
- W4220956789 type Work @default.
- W4220956789 citedByCount "2" @default.
- W4220956789 countsByYear W42209567892022 @default.
- W4220956789 countsByYear W42209567892023 @default.
- W4220956789 crossrefType "journal-article" @default.
- W4220956789 hasAuthorship W4220956789A5012644714 @default.
- W4220956789 hasAuthorship W4220956789A5030253345 @default.
- W4220956789 hasAuthorship W4220956789A5031008569 @default.
- W4220956789 hasAuthorship W4220956789A5042004857 @default.
- W4220956789 hasAuthorship W4220956789A5051198154 @default.
- W4220956789 hasBestOaLocation W42209567891 @default.
- W4220956789 hasConcept C121684516 @default.
- W4220956789 hasConcept C131979681 @default.
- W4220956789 hasConcept C154945302 @default.
- W4220956789 hasConcept C2524010 @default.
- W4220956789 hasConcept C28719098 @default.
- W4220956789 hasConcept C33923547 @default.
- W4220956789 hasConcept C41008148 @default.
- W4220956789 hasConcept C89600930 @default.
- W4220956789 hasConceptScore W4220956789C121684516 @default.
- W4220956789 hasConceptScore W4220956789C131979681 @default.
- W4220956789 hasConceptScore W4220956789C154945302 @default.
- W4220956789 hasConceptScore W4220956789C2524010 @default.
- W4220956789 hasConceptScore W4220956789C28719098 @default.
- W4220956789 hasConceptScore W4220956789C33923547 @default.
- W4220956789 hasConceptScore W4220956789C41008148 @default.
- W4220956789 hasConceptScore W4220956789C89600930 @default.
- W4220956789 hasLocation W42209567891 @default.
- W4220956789 hasOpenAccess W4220956789 @default.
- W4220956789 hasPrimaryLocation W42209567891 @default.
- W4220956789 hasRelatedWork W2147631053 @default.
- W4220956789 hasRelatedWork W2917062864 @default.
- W4220956789 hasRelatedWork W2959771705 @default.
- W4220956789 hasRelatedWork W3015465855 @default.
- W4220956789 hasRelatedWork W3035739565 @default.
- W4220956789 hasRelatedWork W3108464240 @default.
- W4220956789 hasRelatedWork W3110670619 @default.
- W4220956789 hasRelatedWork W3117839341 @default.
- W4220956789 hasRelatedWork W3162648954 @default.
- W4220956789 hasRelatedWork W4283579198 @default.
- W4220956789 hasVolume "93" @default.
- W4220956789 isParatext "false" @default.
- W4220956789 isRetracted "false" @default.
- W4220956789 workType "article" @default.