Chen et al., 2024 - Google Patents
GeoSegNet: point cloud semantic segmentation via geometric encoder–decoder modelingChen et al., 2024
View PDF- Document ID
- 10711598542835075364
- Author
- Chen C
- Wang Y
- Chen H
- Yan X
- Ren D
- Guo Y
- Xie H
- Wang F
- Wei M
- Publication year
- Publication venue
- The Visual Computer
External Links
Snippet
Semantic segmentation of point clouds, aiming to assign each point a semantic category, is critical to 3D scene understanding. Although significant advances in recent years, most of the existing methods still suffer from either the object-level misclassification or the boundary …
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- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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