Room Partitioning in Complex Environments by Supervoxel Segmentation and Anchor Pixel Linking
This article presents an innovative method to automatically partition rooms in cluttered environments, which is a critical task for indoor reconstruction, navigation, as well as scene understanding. It involves two main phases, starting with the operations of morphological erosion and feature analys...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/11072209/ |
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| author | Feng Li WenZhong Shi YangJie Sun |
| author_facet | Feng Li WenZhong Shi YangJie Sun |
| author_sort | Feng Li |
| collection | DOAJ |
| description | This article presents an innovative method to automatically partition rooms in cluttered environments, which is a critical task for indoor reconstruction, navigation, as well as scene understanding. It involves two main phases, starting with the operations of morphological erosion and feature analysis on the projected supervoxels to highlight gaps and remove narrow passages. This is followed by a refinement phase, where the continuous and clean wall boundaries are connected in the occupancy evidence map under the constraint of orientation information. Finally, the individualization of rooms is achieved by inversely propagating the segmented result in image back to point cloud. Experimental results demonstrate that the proposed method outperforms mainstream approaches, particularly in challenging scenarios characterized by heavy occlusion, curved walls, multiple ceiling heights, or long corridors. |
| format | Article |
| id | doaj-art-39132a95d29f459b9db8c8d0000b74c3 |
| institution | DOAJ |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-39132a95d29f459b9db8c8d0000b74c32025-08-20T02:46:40ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118183581837510.1109/JSTARS.2025.358649011072209Room Partitioning in Complex Environments by Supervoxel Segmentation and Anchor Pixel LinkingFeng Li0https://orcid.org/0000-0003-1964-6189WenZhong Shi1https://orcid.org/0000-0002-3886-7027YangJie Sun2School of History, Culture and Tourism, Fuyang Normal University, Fuyang, ChinaDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong KongDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong KongThis article presents an innovative method to automatically partition rooms in cluttered environments, which is a critical task for indoor reconstruction, navigation, as well as scene understanding. It involves two main phases, starting with the operations of morphological erosion and feature analysis on the projected supervoxels to highlight gaps and remove narrow passages. This is followed by a refinement phase, where the continuous and clean wall boundaries are connected in the occupancy evidence map under the constraint of orientation information. Finally, the individualization of rooms is achieved by inversely propagating the segmented result in image back to point cloud. Experimental results demonstrate that the proposed method outperforms mainstream approaches, particularly in challenging scenarios characterized by heavy occlusion, curved walls, multiple ceiling heights, or long corridors.https://ieeexplore.ieee.org/document/11072209/Indoor spacepixel linkingpoint cloudroom partitioningsupervoxel segmentation |
| spellingShingle | Feng Li WenZhong Shi YangJie Sun Room Partitioning in Complex Environments by Supervoxel Segmentation and Anchor Pixel Linking IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Indoor space pixel linking point cloud room partitioning supervoxel segmentation |
| title | Room Partitioning in Complex Environments by Supervoxel Segmentation and Anchor Pixel Linking |
| title_full | Room Partitioning in Complex Environments by Supervoxel Segmentation and Anchor Pixel Linking |
| title_fullStr | Room Partitioning in Complex Environments by Supervoxel Segmentation and Anchor Pixel Linking |
| title_full_unstemmed | Room Partitioning in Complex Environments by Supervoxel Segmentation and Anchor Pixel Linking |
| title_short | Room Partitioning in Complex Environments by Supervoxel Segmentation and Anchor Pixel Linking |
| title_sort | room partitioning in complex environments by supervoxel segmentation and anchor pixel linking |
| topic | Indoor space pixel linking point cloud room partitioning supervoxel segmentation |
| url | https://ieeexplore.ieee.org/document/11072209/ |
| work_keys_str_mv | AT fengli roompartitioningincomplexenvironmentsbysupervoxelsegmentationandanchorpixellinking AT wenzhongshi roompartitioningincomplexenvironmentsbysupervoxelsegmentationandanchorpixellinking AT yangjiesun roompartitioningincomplexenvironmentsbysupervoxelsegmentationandanchorpixellinking |