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Rogez et al., 2017 - Google Patents

Lcr-net: Localization-classification-regression for human pose

Rogez et al., 2017

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Document ID
5882225221066441347
Author
Rogez G
Weinzaepfel P
Schmid C
Publication year
Publication venue
Proceedings of the IEEE conference on computer vision and pattern recognition

External Links

Snippet

We propose an end-to-end architecture for joint 2D and 3D human pose estimation in natural images. Key to our approach is the generation and scoring of a number of pose proposals per image, which allows us to predict 2D and 3D pose of multiple people …
Continue reading at openaccess.thecvf.com (PDF) (other versions)

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
    • G—PHYSICS
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