Prabhudesai et al., 2020 - Google Patents

3d object recognition by corresponding and quantizing neural 3d scene representations

Prabhudesai et al., 2020

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Document ID
13930605907747832276
Author
Prabhudesai M
Lal S
Tung H
Harley A
Potdar S
Fragkiadaki K
Publication year
Publication venue
arXiv preprint arXiv:2010.16279

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Snippet

We propose a system that learns to detect objects and infer their 3D poses in RGB-D images. Many existing systems can identify objects and infer 3D poses, but they heavily rely on human labels and 3D annotations. The challenge here is to achieve this without relying …
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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
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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
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