DOPE++: 6D pose estimation algorithm for weakly textured objects based on deep neural networks
DOPE++: 6D pose estimation algorithm for weakly textured objects based on deep neural networks
About this item
Full title
Author / Creator
Jin, Mei , Li, Jiaqing and Zhang, Liguo
Publisher
United States: Public Library of Science
Journal title
Language
English
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Publication information
Publisher
United States: Public Library of Science
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Scope and Contents
Contents
This paper focuses on 6D pose estimation for weakly textured targets from RGB-D images. A 6D pose estimation algorithm (DOPE++) based on a deep neural network for weakly textured objects is proposed to solve the poor real-time pose estimation and low recognition efficiency in the robot grasping process of parts with weak texture. More specifically,...
Alternative Titles
Full title
DOPE++: 6D pose estimation algorithm for weakly textured objects based on deep neural networks
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Author / Creator
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Record Identifier
TN_cdi_plos_journals_2686268229
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2686268229
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0269175
