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Gu et al., 2020 - Google Patents

OnionNet: Single-view depth prediction and camera pose estimation for unlabeled video

Gu et al., 2020

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Document ID
16025546698509098081
Author
Gu T
Wang Z
Li D
Yang H
Du W
Zhou Y
Publication year
Publication venue
IEEE Transactions on Cognitive and Developmental Systems

External Links

Snippet

In real scenes, humans can easily infer their positions and distances from other objects with their own eyes. To make the robots have the same visual ability, this article presents an unsupervised OnionNet framework, including LeafNet and ParachuteNet, for single-view …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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