PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysis Article Swipe
Chenru Jiang
,
Kaizhu Huang
,
Junwei Wu
,
Xinheng Wang
,
Jimin Xiao
,
Amir Hussain
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.inffus.2022.10.016
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.inffus.2022.10.016
Directly processing 3D point cloud data becomes dominant in classification and segmentation tasks. Present mainstream point based methods usually focus on learning in either geometric space ( PointNet++) or semantic space ( DGCNN). Owing to the irregular and unordered data property of point cloud, these methods still suffer from drawbacks of either ambiguous local features aggregation in geometric space or poor global features extraction in semantic space. While few prior works address these two defects simultaneously by fusing information from the dual spaces, we make a first attempt to develop a synergistic framework, called PointGS. Leveraging both the strength of geometric structure and semantic representation, PointGS establishes a mutual supervision mechanism that can bridge the two spaces and fuse complementary information for better analyzing 3D point cloud data. Compared with existing popular networks, our work attains obvious performance improvement on all three mainstream tasks without any sophisticated operations.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.inffus.2022.10.016
- OA Status
- gold
- Cited By
- 27
- References
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4308486828Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.inffus.2022.10.016Digital Object Identifier
- Title
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PointGS: Bridging and fusing geometric and semantic space for 3D point cloud analysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2022Year of publication
- Publication date
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2022-10-24Full publication date if available
- Authors
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Chenru Jiang, Kaizhu Huang, Junwei Wu, Xinheng Wang, Jimin Xiao, Amir HussainList of authors in order
- Landing page
-
https://doi.org/10.1016/j.inffus.2022.10.016Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://napier-repository.worktribe.com/file/3000959/1/PointGS%3A%20Bridging%20And%20Fusing%20Geometric%20And%20Semantic%20Space%20For%203D%20Point%20Cloud%20Analysis%20%28accepted%20version%29Direct OA link when available
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Bridging (networking), Point cloud, Computer science, Cloud computing, Point (geometry), Artificial intelligence, Geometry, Mathematics, Computer security, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
27Total citation count in OpenAlex
- Citations by year (recent)
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2025: 7, 2024: 13, 2023: 7Per-year citation counts (last 5 years)
- References (count)
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63Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W6839703087, https://openalex.org/W3214984831, https://openalex.org/W2555618208, https://openalex.org/W1644641054, https://openalex.org/W2968296999, https://openalex.org/W2211722331, https://openalex.org/W2556802233, https://openalex.org/W6739778489, https://openalex.org/W2979750740, https://openalex.org/W3105126405, https://openalex.org/W2990613095, https://openalex.org/W2960986959, https://openalex.org/W2982210492, https://openalex.org/W2798297823, https://openalex.org/W6802749810, https://openalex.org/W2606202972, https://openalex.org/W2990045899, https://openalex.org/W2991084087, https://openalex.org/W2963830382, https://openalex.org/W4214521144, https://openalex.org/W3035002114, https://openalex.org/W6791262229, https://openalex.org/W2798777114, https://openalex.org/W6910779650, https://openalex.org/W2962928871, https://openalex.org/W2565662353, https://openalex.org/W2799162093, https://openalex.org/W2520005737, https://openalex.org/W2963231572, https://openalex.org/W2963158438, https://openalex.org/W2981199548, https://openalex.org/W2963281829, https://openalex.org/W3111535274, https://openalex.org/W4214755140, https://openalex.org/W3211021267, https://openalex.org/W6677316912, https://openalex.org/W3205147687, https://openalex.org/W2963053547, https://openalex.org/W3118806719, https://openalex.org/W3034239841, https://openalex.org/W2963719584, https://openalex.org/W2769312834, https://openalex.org/W2963509914, https://openalex.org/W2553307952, https://openalex.org/W2460657278, https://openalex.org/W2963226018, https://openalex.org/W2797997528, https://openalex.org/W2963517242, https://openalex.org/W2962701877, https://openalex.org/W2972177675, https://openalex.org/W4206612944, https://openalex.org/W4312903973, https://openalex.org/W3174510152, https://openalex.org/W4281732104, https://openalex.org/W2964253930, https://openalex.org/W4221160819, https://openalex.org/W2116341502, https://openalex.org/W3208106571, https://openalex.org/W3132888871, https://openalex.org/W3153465022, https://openalex.org/W2963121255, https://openalex.org/W4286681085, https://openalex.org/W2737234477 |
| referenced_works_count | 63 |
| abstract_inverted_index.( | 26, 31 |
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| corresponding_author_ids | https://openalex.org/A5026022035 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I4210159968 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/1 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | No poverty |
| citation_normalized_percentile.value | 0.96538919 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |