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Lin et al., 2021 - Google Patents

6D object pose estimation with pairwise compatible geometric features

Lin et al., 2021

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Document ID
7563240333202860015
Author
Lin M
Murali V
Karaman S
Publication year
Publication venue
2021 IEEE International Conference on Robotics and Automation (ICRA)

External Links

Snippet

This work addresses the problem of 6-DoF pose estimation under heavy occlusion. While previous work demonstrates reasonable results in unoccluded situations, robust and efficient pose estimation is still challenging in heavily occluded and low-texture scenarios …
Continue reading at dspace.mit.edu (PDF) (other versions)

Classifications

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    • G06K9/46—Extraction of features or characteristics of the image
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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