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POSE-ALIGNED NETWORKS FOR DEEP ATTRIBUTE MODELING

  • US 20160328606A1
  • Filed: 07/19/2016
  • Published: 11/10/2016
  • Est. Priority Date: 11/15/2013
  • Status: Active Grant
First Claim
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1. A computing device for recognizing human attribute from digital images, comprising:

  • one or more processing units;

    an input interface configured to receive a digital image;

    a storage component configured to store multiple body feature databases associated with multiple recognized body features, trained data of multiple deep learning networks associated with the recognized body features, and trained data of a classification engine for an image attribute, wherein the image attribute relates to a content of the digital image;

    a body feature module configured to locate multiple part patches from the digital image based on the body feature databases;

    an artificial neural network module configured to feed the part patches into the deep learning networks to generate multiple sets of feature data; and

    a classification module configured to concatenate the sets of feature data and feed the concatenated feature data into the classification engine to determine whether the digital image has the image attribute.

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