Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A novel 3D point cloud segmentation algorithm based on multi-resolution supervoxel and MGS. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-3d-point-cloud-segmentation-algorithm-based-on-multi-resolution-supervoxel-and-mgs
MLA“A novel 3D point cloud segmentation algorithm based on multi-resolution supervoxel and MGS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-3d-point-cloud-segmentation-algorithm-based-on-multi-resolution-supervoxel-and-mgs.
BibTeX@misc{4ortxyz_a-novel-3d-point-cloud-segmentation-algorithm-based-on-multi-resolution-supervoxel-and-mgs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel 3D point cloud segmentation algorithm based on multi-resolution supervoxel and MGS}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-3d-point-cloud-segmentation-algorithm-based-on-multi-resolution-supervoxel-and-mgs}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel 3D point cloud segmentation algorithm based on multi-resolution supervoxel and MGS — https://4ort.xyz/entity/a-novel-3d-point-cloud-segmentation-algorithm-based-on-multi-resolution-supervoxel-and-mgs (retrieved 2026-05-24)
