Liu et al., 2020 - Google Patents
LRC-Net: Learning discriminative features on point clouds by encoding local region contextsLiu et al., 2020
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- 9606215555707206142
- Author
- Liu X
- Han Z
- Hong F
- Liu Y
- Zwicker M
- Publication year
- Publication venue
- Computer Aided Geometric Design
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Snippet
Learning discriminative feature directly on point clouds is still challenging in the understanding of 3D shapes. Recent methods usually partition point clouds into local region sets, and then extract the local region features with fixed-size CNN or MLP, and finally …
- 230000011218 segmentation 0 abstract description 28
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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