FFMT: Unsupervised RGB-D Point Cloud Registration via Fusion Feature Matching with Transformer
FFMT: Unsupervised RGB-D Point Cloud Registration via Fusion Feature Matching with Transformer
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Point cloud registration is a fundamental problem in computer vision and 3D computing, aiming to align point cloud data from different sensors or viewpoints into a unified coordinate system. In recent years, the rapid development of RGB-D sensor technology has greatly facilitated the acquisition of RGB-D data. In previous unsupervised point cloud r...
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Full title
FFMT: Unsupervised RGB-D Point Cloud Registration via Fusion Feature Matching with Transformer
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_35327b1ee1e348a7962ed4370da648d5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_35327b1ee1e348a7962ed4370da648d5
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app15052472
