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Hu et al., 2022 - Google Patents

Decouple the object: Component-level semantic recognizer for point clouds classification

Hu et al., 2022

Document ID
12869258184741112566
Author
Hu R
Yang B
Ye H
Cao F
Wen C
Zhang Q
Publication year
Publication venue
Knowledge-Based Systems

External Links

Snippet

Abstract 3D point clouds classification is fundamental but always challenging in point clouds analysis, of which the key is efficiently extracting their distinguishing features. At present, several studies based on deep learning perform well in 3D point clouds classification task …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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    • G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
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